Cornell NLP

This list is periodically generated using Semantic Scholar by aggregating the publications of the core faculty in the group. It may contain inconsistencies. Please see our personal websites for more accurate publication lists (e.g., for accurate venue when ArXiv is listed). This list was last updated on December 03, 2024.

2024
Does Dependency Locality Predict Non-canonical Word Order in Hindi? Sidharth Ranjan and Marten van Schijndel. In arXiv.org, 2024.
Taking a turn for the better: Conversation redirection throughout the course of mental-health therapy Vivian Nguyen, Sang Min Jung, Lillian Lee, Thomas D. Hull, and Cristian Danescu-Niculescu-Mizil. In Conference on Empirical Methods in Natural Language Processing, 2024.
Code-switching in text and speech reveals information-theoretic audience design Debasmita Bhattacharya and Marten van Schijndel. In arXiv.org, 2024.
CoGen: Learning from Feedback with Coupled Comprehension and Generation Mustafa Omer Gul and Yoav Artzi. In Conference on Empirical Methods in Natural Language Processing, 2024.
A Surprising Failure? Multimodal LLMs and the NLVR Challenge Anne Wu, Kianté Brantley, and Yoav Artzi. In arXiv.org, 2024.
Retrospective Learning from Interactions Zizhao Chen, Mustafa Omer Gul, Yiwei Chen, Gloria Geng, Anne Wu, and Yoav Artzi. 2024.
Semantics or spelling? Probing contextual word embeddings with orthographic noise Jacob A. Matthews, John R. Starr, and Marten van Schijndel. In Annual Meeting of the Association for Computational Linguistics, 2024.
LLMs Are In-Context Reinforcement Learners Giovanni Monea, Antoine Bosselut, Kianté Brantley, and Yoav Artzi. 2024.
WildChat: 1M ChatGPT Interaction Logs in the Wild Wenting Zhao, Xiang Ren, J. Hessel, Claire Cardie, Yejin Choi, and Yuntian Deng. In International Conference on Learning Representations, 2024.
Talk Less, Interact Better: Evaluating In-context Conversational Adaptation in Multimodal LLMs Yilun Hua and Yoav Artzi. In arXiv.org, 2024.
2023
iPrompt: Explaining Data Patterns in Natural Language via Interpretable Autoprompting Chandan Singh, John X. Morris, J. Aneja, Alexander M. Rush, and Jianfeng Gao. 2023.
End-to-end Case-Based Reasoning for Commonsense Knowledge Base Completion Zonglin Yang, X. Du, E. Cambria, and Claire Cardie. 2023.
22.9 A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management Thierry Tambe, J. Zhang, Coleman Hooper, Tianyu Jia, P. Whatmough, Joseph Zuckerman, Maico Cassel dos Santos, Erik Jens Loscalzo, Davide Giri, Kenneth E. Shepard, L. Carloni, Alexander M. Rush, D. Brooks, and Gu-Yeon Wei. In IEEE International Solid-State Circuits Conference, 2023.
Semantic uncertainty guides the extension of conventions to new referents Ron Eliav, Anya Ji, Yoav Artzi, and Robert D. Hawkins. In arXiv.org, 2023.
CB2: Collaborative Natural Language Interaction Research Platform Jacob Sharf, Mustafa Omer Gul, and Yoav Artzi. In arXiv.org, 2023.
HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision Wenting Zhao, Justin T Chiu, Claire Cardie, and Alexander M. Rush. In arXiv.org, 2023.
Scaling Data-Constrained Language Models Niklas Muennighoff, Alexander M. Rush, B. Barak, Teven Le Scao, Aleksandra Piktus, Nouamane Tazi, Sampo Pyysalo, Thomas Wolf, and Colin Raffel. In arXiv.org, 2023.
Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations Wenting Zhao, Justin T Chiu, Claire Cardie, and Alexander M. Rush. In Annual Meeting of the Association for Computational Linguistics, 2023.
Continually Improving Extractive QA via Human Feedback Ge Gao, Hung-Ting Chen, Yoav Artzi, and Eunsol Choi. In arXiv.org, 2023.
OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents Hugo Laurenccon, Lucile Saulnier, L'eo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, M. Cord, and Victor Sanh. In arXiv.org, 2023.
IncDSI: Incrementally Updatable Document Retrieval Varsha Kishore, Chao-gang Wan, Justin Lovelace, Yoav Artzi, and Kilian Q. Weinberger. In arXiv.org, 2023.
Parallel and Differential Contributions from Language and Image in the Discourse Representation of Picturebooks1 D. Abusch and Mats Rooth. 2023.
CB2: Collaborative Natural Language Interaction Research Platform Jacob Sharf, Mustafa Omer Gul, and Yoav Artzi. In Annual Meeting of the Association for Computational Linguistics, 2023.
OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents Hugo Laurenccon, Lucile Saulnier, L'eo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, M. Cord, and Victor Sanh. In arXiv.org, 2023.
Guess & Sketch: Language Model Guided Transpilation Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, D. Brooks, Stephen Chong, Gu-Yeon Wei, and Alexander M. Rush. In arXiv.org, 2023.
A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models Noriyuki Kojima, Hadar Averbuch-Elor, and Yoav Artzi. In arXiv.org, 2023.
Scaling Data-Constrained Language Models Niklas Muennighoff, Alexander M. Rush, B. Barak, Teven Le Scao, Aleksandra Piktus, Nouamane Tazi, S. Pyysalo, Thomas Wolf, and Colin Raffel. In Neural Information Processing Systems, 2023.
A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models Noriyuki Kojima, Hadar Averbuch-Elor, and Yoav Artzi. In Trans. Mach. Learn. Res., 2023.
Linguistic Compression in Single-Sentence Human-Written Summaries Fangcong Yin and Marten van Schijndel. In Conference on Empirical Methods in Natural Language Processing, 2023.
OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents Hugo Laurenccon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, M. Cord, and Victor Sanh. In Neural Information Processing Systems, 2023.
2022
Low-Rank Constraints for Fast Inference in Structured Models Justin T Chiu, Yuntian Deng, and Alexander M. Rush. 2022.
Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages Felix Wu, Kwangyoun Kim, Shinji Watanabe, Kyu Han, Ryan T. McDonald, Kilian Q. Weinberger, and Yoav Artzi. 2022.
Commonsense Reasoning for Question Answering with Explanations Wenting Zhao, Alexander M. Rush, and Claire Cardie. 2022.
Simulating Bandit Learning from User Feedback for Extractive Question Answering Ge Gao, Eunsol Choi, and Yoav Artzi. In ACL, 2022.
Compositional Task-Oriented Parsing as Abstractive Question Answering Wenting Zhao, Konstantine Arkoudas, Weiqiong Sun, and Claire Cardie. In NAACL, 2022.
Automatic Error Analysis for Document-level Information Extraction Aliva Das, X. Du, Barry Wang, Kejian Shi, Jiayuan Gu, Thomas Porter, and Claire Cardie. In ACL, 2022.
BeSt: The Belief and Sentiment Corpus Jennifer Tracey, Owen Rambow, Michael Arrigo, Claire Cardie, Adam Dalton, H. Dang, Mona T. Diab, Bonnie Dorr, Louise Guthrie, M. Markowska, S. Muresan, Vinodkumar Prabhakaran, Samira Shaikh, T. Strzalkowski, and J. Wiebe. 2022.
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged S. Al-shaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Mike Tian-Jian Jiang, and Alexander M. Rush. In ACL, 2022.
A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, M. Donato, P. Whatmough, Alexander M. Rush, D. Brooks, and Gu-Yeon Wei. In IEEE Journal of Solid-State Circuits, 2022.
Dual Mechanism Priming Effects in Hindi Word Order Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, and Rajakrishnan Rajkumar. In AACL, 2022.
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, J. Beyer, H. Pfister, and Alexander M. Rush. In IEEE Transactions on Visualization and Computer Graphics, 2022.
Thread With Caution: Proactively Helping Users Assess and Deescalate Tension in Their Online Discussions Jonathan P. Chang, Charlotte Schluger, and Cristian Danescu-Niculescu-Mizil. In Proceedings of the ACM on Human-Computer Interaction, 2022.
Xatu: boosting existing DDoS detection systems using auxiliary signals Zhiying Xu, Sivaramakrishnan Ramanathan, Alexander M. Rush, J. Mirkovic, and Minlan Yu. In Conference on Emerging Network Experiment and Technology, 2022.
Proactive Moderation of Online Discussions: Existing Practices and the Potential for Algorithmic Support Charlotte Schluger, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil, and K. Levy. In Proceedings of the ACM on Human-Computer Interaction, 2022.
Pretraining Without Attention Junxiong Wang, Jing Nathan Yan, Albert Gu, and Alexander M. Rush. 2022.
Continual Learning for Instruction Following from Realtime Feedback Alane Suhr and Yoav Artzi. 2022.
Pictorial free perception D. Abusch and Mats Rooth. In Linguistics and Philosophy, 2022.
Xatu Zhiying Xu, Sivaramakrishnan Ramanathan, Alexander M. Rush, J. Mirkovic, and Minlan Yu. In Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies, 2022.
War and Pieces: Comparing Perspectives About World War I and II Across Wikipedia Language Communities Ana Smith and Lillian Lee. In LATECHCLFL, 2022.
Unsupervised Text Deidentification John X. Morris, Justin T Chiu, Ramin Zabih, and Alexander M. Rush. In Conference on Empirical Methods in Natural Language Processing, 2022.
Discourse Context Predictability Effects in Hindi Word Order Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, and Rajakrishnan Rajkumar. In Conference on Empirical Methods in Natural Language Processing, 2022.
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering Zhiying Xu, Francis Y. Yan, Rachee Singh, Justin T Chiu, Alexander M. Rush, and Minlan Yu. 2022.
Model Criticism for Long-Form Text Generation Yuntian Deng, Volodymyr Kuleshov, and Alexander M. Rush. In Conference on Empirical Methods in Natural Language Processing, 2022.
Abstract Visual Reasoning with Tangram Shapes Anya Ji, Noriyuki Kojima, N. Rush, Alane Suhr, Wai Keen Vong, Robert D. Hawkins, and Yoav Artzi. In Conference on Empirical Methods in Natural Language Processing, 2022.
Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest Jack Hessel, Ana Marasović, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, and Yejin Choi. In arXiv.org, 2022.
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements Leandro von Werra, Lewis Tunstall, A. Thakur, A. Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo, Omar Sanseviero, Mario vSavsko, Albert Villanova, Quentin Lhoest, Julien Chaumond, Margaret Mitchell, Alexander M. Rush, Thomas Wolf, and Douwe Kiela. In Conference on Empirical Methods in Natural Language Processing, 2022.
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model Teven Le Scao, Angela Fan, Christopher Akiki, Elizabeth-Jane Pavlick, Suzana Ili'c, Daniel Hesslow, Roman Castagn'e, A. Luccioni, Franccois Yvon, Matthias Gallé, J. Tow, Alexander M. Rush, Stella Rose Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurenccon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa Etxabe, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Canwen Xu, Chenghao Mou, Chris C. Emezue, Christopher Klamm, Colin Leong, Daniel Alexander van Strien, David Ifeoluwa Adelani, Dragomir R. Radev, E. G. Ponferrada, Efrat Levkovizh, Ethan Kim, E. Natan, F. Toni, Gérard Dupont, Germán Kruszewski, Giada Pistilli, Hady ElSahar, Hamza Benyamina, H. Tran, Ian Yu, Idris Abdulmumin, Isaac Johnson, Itziar Gonzalez-Dios, Javier de la Rosa, Jenny Chim, Jesse Dodge, Jian Zhu, Jonathan Chang, Jorg Frohberg, Josephine L. Tobing, J. Bhattacharjee, Khalid Almubarak, Kimbo Chen, Kyle Lo, Leandro von Werra, Leon Weber, Long Phan, Loubna Ben Allal, Ludovic Tanguy, Manan Dey, M. Muñoz, Maraim Masoud, Mar'ia Grandury, Mario vSavsko, Max Huang, Maximin Coavoux, Mayank Singh, Mike Tian-Jian Jiang, Minh Chien Vu, M. A. Jauhar, Mustafa Ghaleb, Nishant Subramani, Nora Kassner, Nurulaqilla Khamis, Olivier Nguyen, Omar Espejel, Ona de Gibert, Paulo Villegas, Peter Henderson, Pierre Colombo, Priscilla A. Amuok, Quentin Lhoest, Rheza Harliman, Rishi Bommasani, R. L'opez, Rui Ribeiro, Salomey Osei, Sampo Pyysalo, Sebastian Nagel, Shamik Bose, Shamsuddeen Hassan Muhammad, Shanya Sharma, S. Longpre, Somaieh Nikpoor, Stanislav Silberberg, S. Pai, S. Zink, Tiago Timponi Torrent, Timo Schick, Tristan Thrush, V. Danchev, Vassilina Nikoulina, Veronika Laippala, Violette Lepercq, V. Prabhu, Zaid Alyafeai, Zeerak Talat, Arun Raja, Benjamin Heinzerling, Chenglei Si, Elizabeth Salesky, Sabrina J. Mielke, Wilson Y. Lee, Abheesht Sharma, Andrea Santilli, Antoine Chaffin, Arnaud Stiegler, Debajyoti Datta, Eliza Szczechla, Gunjan Chhablani, Han Wang, Harshit Pandey, Hendrik Strobelt, Jason Alan Fries, Jos Rozen, Leo Gao, Lintang Sutawika, M Saiful Bari, Maged S. Al-shaibani, Matteo Manica, Nihal V. Nayak, Ryan Teehan, Samuel Albanie, Sheng Shen, Srulik Ben-David, Stephen H. Bach, Taewoon Kim, T. Bers, Thibault Févry, Trishala Neeraj, Urmish Thakker, Vikas Raunak, Xiang Tang, Zheng Xin Yong, Zhiqing Sun, Shaked Brody, Y. Uri, Hadar Tojarieh, Adam Roberts, Hyung Won Chung, Jaesung Tae, Jason Phang, Ofir Press, Conglong Li, D. Narayanan, Hatim Bourfoune, J. Casper, Jeff Rasley, Max Ryabinin, Mayank Mishra, Minjia Zhang, M. Shoeybi, Myriam Peyrounette, N. Patry, Nouamane Tazi, Omar Sanseviero, Patrick von Platen, Pierre Cornette, Pierre Franccois Lavall'ee, R. Lacroix, Samyam Rajbhandari, Sanchit Gandhi, Shaden Smith, S. Requena, Suraj Patil, Tim Dettmers, Ahmed Baruwa, Amanpreet Singh, Anastasia Cheveleva, Anne-Laure Ligozat, Arjun Subramonian, Aur'elie N'ev'eol, Charles Lovering, Daniel H Garrette, D. Tunuguntla, Ehud Reiter, Ekaterina Taktasheva, E. Voloshina, Eli Bogdanov, Genta Indra Winata, Hailey Schoelkopf, Jan-Christoph Kalo, Jekaterina Novikova, J. Forde, Xiangru Tang, Jungo Kasai, Ken Kawamura, Liam Hazan, Marine Carpuat, Miruna Clinciu, Najoung Kim, Newton Cheng, Oleg Serikov, Omer Antverg, Oskar van der Wal, Rui Zhang, Ruochen Zhang, Sebastian Gehrmann, Shachar Mirkin, S. Pais, Tatiana Shavrina, Thomas Scialom, Tian Yun, Tomasz Limisiewicz, Verena Rieser, Vitaly Protasov, V. Mikhailov, Yada Pruksachatkun, Yonatan Belinkov, Zachary Bamberger, Zdenvek Kasner, A. Rueda, A. Pestana, A. Feizpour, Ammar Khan, Amy Faranak, A. Santos, A. Hevia, Antigona Unldreaj, Arash Aghagol, Arezoo Abdollahi, A. Tammour, A. HajiHosseini, Bahareh Behroozi, B. Ajibade, B. Saxena, Carlos Muñoz Ferrandis, Danish Contractor, D. Lansky, Davis David, Douwe Kiela, D. A. Nguyen, Edward Tan, Emily Baylor, Ezinwanne Ozoani, Fatim T Mirza, Frankline Ononiwu, Habib Rezanejad, H.A. Jones, Indrani Bhattacharya, Irene Solaiman, Irina Sedenko, I. Nejadgholi, J. Passmore, Joshua Seltzer, Julio Bonis Sanz, Karen Fort, L. Dutra, Mairon Samagaio, Maraim Elbadri, Margot Mieskes, Marissa Gerchick, Martha Akinlolu, Michael McKenna, Mike Qiu, M. Ghauri, Mykola Burynok, Nafis Abrar, Nazneen Rajani, Nour Elkott, N. Fahmy, Olanrewaju Samuel, Ran An, R. Kromann, Ryan Hao, S. Alizadeh, Sarmad Shubber, Silas L. Wang, Sourav Roy, S. Viguier, Thanh-Cong Le, Tobi Oyebade, T. Le, Yoyo Yang, Z. Nguyen, Abhinav Ramesh Kashyap, Alfredo Palasciano, A. Callahan, Anima Shukla, Antonio Miranda-Escalada, A. Singh, Benjamin Beilharz, Bo Wang, C. Brito, Chenxi Zhou, Chirag Jain, Chuxin Xu, Clémentine Fourrier, Daniel Le'on Perin'an, Daniel Molano, Dian Yu, Enrique Manjavacas, Fabio Barth, Florian Fuhrimann, Gabriel Altay, Giyaseddin Bayrak, Gully A. Burns, Helena U. Vrabec, I. Bello, Isha Dash, J. Kang, John Giorgi, J. Golde, J. Posada, Karthi Sivaraman, Lokesh Bulchandani, Lu Liu, Luisa Shinzato, Madeleine Hahn de Bykhovetz, Maiko Takeuchi, Marc Pàmies, M. A. Castillo, Marianna Nezhurina, Mario Sanger, M. Samwald, Michael Cullan, Michael Weinberg, M. Wolf, Mina Mihaljcic, Minna Liu, M. Freidank, Myungsun Kang, Natasha Seelam, N. Dahlberg, N. Broad, N. Muellner, Pascale Fung, Patricia Haller, R. Chandrasekhar, R. Eisenberg, Robert Martin, Rodrigo L. Canalli, Rosaline Su, Ruisi Su, Samuel Cahyawijaya, Samuele Garda, Shlok S Deshmukh, Shubhanshu Mishra, Sid Kiblawi, Simon Ott, Sinee Sang-aroonsiri, Srishti Kumar, Stefan Schweter, S. Bharati, T. A. Laud, Th'eo Gigant, Tomoya Kainuma, Wojciech Kusa, Yanis Labrak, Yashasvi Bajaj, Y. Venkatraman, Yifan Xu, Ying Xu, Yun-chao Xu, Z. Tan, Zhongli Xie, Zifan Ye, M. Bras, Younes Belkada, and Thomas Wolf. In arXiv.org, 2022.
ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition Sanchit Gandhi, Patrick von Platen, and Alexander M. Rush. In arXiv.org, 2022.
Markup-to-Image Diffusion Models with Scheduled Sampling Yuntian Deng, Noriyuki Kojima, and Alexander M. Rush. In arXiv.org, 2022.
Teal: Learning-Accelerated Optimization of Traffic Engineering Zhiying Xu, Francis Y. Yan, Rachee Singh, Justin T Chiu, Alexander M. Rush, and Minlan Yu. In arXiv.org, 2022.
lilGym: Natural Language Visual Reasoning with Reinforcement Learning Anne Wu, Kianté Brantley, Noriyuki Kojima, and Yoav Artzi. In arXiv.org, 2022.
Pretraining Without Attention Junxiong Wang, J. Yan, Albert Gu, and Alexander M. Rush. In arXiv.org, 2022.
lilGym: Natural Language Visual Reasoning with Reinforcement Learning Anne Wu, Kianté Brantley, Noriyuki Kojima, and Yoav Artzi. In Annual Meeting of the Association for Computational Linguistics, 2022.
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model Teven Le Scao, Angela Fan, Christopher Akiki, Elizabeth-Jane Pavlick, Suzana Ili'c, Daniel Hesslow, Roman Castagn'e, A. Luccioni, Franccois Yvon, Matthias Gallé, J. Tow, Alexander M. Rush, Stella Rose Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurenccon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa Etxabe, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Canwen Xu, Chenghao Mou, Chris C. Emezue, Christopher Klamm, Colin Leong, Daniel Alexander van Strien, David Ifeoluwa Adelani, Dragomir R. Radev, E. G. Ponferrada, Efrat Levkovizh, Ethan Kim, E. Natan, F. Toni, Gérard Dupont, Germán Kruszewski, Giada Pistilli, Hady ElSahar, Hamza Benyamina, H. Tran, Ian Yu, Idris Abdulmumin, Isaac Johnson, Itziar Gonzalez-Dios, Javier de la Rosa, Jenny Chim, Jesse Dodge, Jian Zhu, Jonathan Chang, Jorg Frohberg, Josephine L. Tobing, J. Bhattacharjee, Khalid Almubarak, Kimbo Chen, Kyle Lo, Leandro von Werra, Leon Weber, Long Phan, Loubna Ben Allal, Ludovic Tanguy, Manan Dey, M. Muñoz, Maraim Masoud, Mar'ia Grandury, Mario vSavsko, Max Huang, Maximin Coavoux, Mayank Singh, Mike Tian-Jian Jiang, Minh Chien Vu, M. A. Jauhar, Mustafa Ghaleb, Nishant Subramani, Nora Kassner, Nurulaqilla Khamis, Olivier Nguyen, Omar Espejel, Ona de Gibert, Paulo Villegas, Peter Henderson, Pierre Colombo, Priscilla A. Amuok, Quentin Lhoest, Rheza Harliman, Rishi Bommasani, R. L'opez, Rui Ribeiro, Salomey Osei, Sampo Pyysalo, Sebastian Nagel, Shamik Bose, Shamsuddeen Hassan Muhammad, Shanya Sharma, S. Longpre, Somaieh Nikpoor, Stanislav Silberberg, S. Pai, S. Zink, Tiago Timponi Torrent, Timo Schick, Tristan Thrush, V. Danchev, Vassilina Nikoulina, Veronika Laippala, Violette Lepercq, V. Prabhu, Zaid Alyafeai, Zeerak Talat, Arun Raja, Benjamin Heinzerling, Chenglei Si, Elizabeth Salesky, Sabrina J. Mielke, Wilson Y. Lee, Abheesht Sharma, Andrea Santilli, Antoine Chaffin, Arnaud Stiegler, Debajyoti Datta, Eliza Szczechla, Gunjan Chhablani, Han Wang, Harshit Pandey, Hendrik Strobelt, Jason Alan Fries, Jos Rozen, Leo Gao, Lintang Sutawika, M Saiful Bari, Maged S. Al-shaibani, Matteo Manica, Nihal V. Nayak, Ryan Teehan, Samuel Albanie, Sheng Shen, Srulik Ben-David, Stephen H. Bach, Taewoon Kim, T. Bers, Thibault Févry, Trishala Neeraj, Urmish Thakker, Vikas Raunak, Xiang Tang, Zheng Xin Yong, Zhiqing Sun, Shaked Brody, Y. Uri, Hadar Tojarieh, Adam Roberts, Hyung Won Chung, Jaesung Tae, Jason Phang, Ofir Press, Conglong Li, D. Narayanan, Hatim Bourfoune, J. Casper, Jeff Rasley, Max Ryabinin, Mayank Mishra, Minjia Zhang, M. Shoeybi, Myriam Peyrounette, N. Patry, Nouamane Tazi, Omar Sanseviero, Patrick von Platen, Pierre Cornette, Pierre Franccois Lavall'ee, R. Lacroix, Samyam Rajbhandari, Sanchit Gandhi, Shaden Smith, S. Requena, Suraj Patil, Tim Dettmers, Ahmed Baruwa, Amanpreet Singh, Anastasia Cheveleva, Anne-Laure Ligozat, Arjun Subramonian, Aur'elie N'ev'eol, Charles Lovering, Daniel H Garrette, D. Tunuguntla, Ehud Reiter, Ekaterina Taktasheva, E. Voloshina, Eli Bogdanov, Genta Indra Winata, Hailey Schoelkopf, Jan-Christoph Kalo, Jekaterina Novikova, J. Forde, Xiangru Tang, Jungo Kasai, Ken Kawamura, Liam Hazan, Marine Carpuat, Miruna Clinciu, Najoung Kim, Newton Cheng, O. Serikov, Omer Antverg, Oskar van der Wal, Rui Zhang, Ruochen Zhang, Sebastian Gehrmann, Shachar Mirkin, S. Pais, Tatiana Shavrina, Thomas Scialom, Tian Yun, Tomasz Limisiewicz, Verena Rieser, Vitaly Protasov, V. Mikhailov, Yada Pruksachatkun, Yonatan Belinkov, Zachary Bamberger, Zdenvek Kasner, A. Rueda, A. Pestana, A. Feizpour, Ammar Khan, Amy Faranak, A. Santos, A. Hevia, Antigona Unldreaj, Arash Aghagol, Arezoo Abdollahi, A. Tammour, A. HajiHosseini, Bahareh Behroozi, B. Ajibade, B. Saxena, Carlos Muñoz Ferrandis, Danish Contractor, D. Lansky, Davis David, Douwe Kiela, D. A. Nguyen, Edward Tan, Emily Baylor, Ezinwanne Ozoani, F. Mirza, Frankline Ononiwu, Habib Rezanejad, H.A. Jones, Indrani Bhattacharya, Irene Solaiman, Irina Sedenko, I. Nejadgholi, J. Passmore, Joshua Seltzer, Julio Bonis Sanz, Karen Fort, L. Dutra, Mairon Samagaio, Maraim Elbadri, Margot Mieskes, Marissa Gerchick, Martha Akinlolu, Michael McKenna, Mike Qiu, M. Ghauri, Mykola Burynok, Nafis Abrar, Nazneen Rajani, Nour Elkott, N. Fahmy, Olanrewaju Samuel, Ran An, R. Kromann, Ryan Hao, S. Alizadeh, Sarmad Shubber, Silas L. Wang, Sourav Roy, S. Viguier, Thanh-Cong Le, Tobi Oyebade, T. Le, Yoyo Yang, Z. Nguyen, Abhinav Ramesh Kashyap, A. Palasciano, A. Callahan, Anima Shukla, Antonio Miranda-Escalada, A. Singh, Benjamin Beilharz, Bo Wang, C. Brito, Chenxi Zhou, Chirag Jain, Chuxin Xu, Clémentine Fourrier, Daniel Le'on Perin'an, Daniel Molano, Dian Yu, Enrique Manjavacas, Fabio Barth, Florian Fuhrimann, Gabriel Altay, Giyaseddin Bayrak, Gully Burns, Helena U. Vrabec, I. Bello, Isha Dash, J. Kang, John Giorgi, J. Golde, J. Posada, Karthi Sivaraman, Lokesh Bulchandani, Lu Liu, Luisa Shinzato, Madeleine Hahn de Bykhovetz, Maiko Takeuchi, Marc Pàmies, M. A. Castillo, Marianna Nezhurina, Mario Sanger, M. Samwald, Michael Cullan, Michael Weinberg, M. Wolf, Mina Mihaljcic, Minna Liu, M. Freidank, Myungsun Kang, Natasha Seelam, N. Dahlberg, N. Broad, N. Muellner, Pascale Fung, Patricia Haller, R. Chandrasekhar, R. Eisenberg, Robert Martin, Rodrigo L. Canalli, Rosaline Su, Ruisi Su, Samuel Cahyawijaya, Samuele Garda, Shlok S Deshmukh, Shubhanshu Mishra, Sid Kiblawi, Simon Ott, Sinee Sang-aroonsiri, Srishti Kumar, Stefan Schweter, S. Bharati, T. A. Laud, Th'eo Gigant, Tomoya Kainuma, Wojciech Kusa, Yanis Labrak, Yashasvi Bajaj, Y. Venkatraman, Yifan Xu, Ying Xu, Yu Xu, Z. Tan, Zhongli Xie, Zifan Ye, M. Bras, Younes Belkada, and Thomas Wolf. In arXiv.org, 2022.
Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest Jack Hessel, Ana Marasović, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, and Yejin Choi. In Annual Meeting of the Association for Computational Linguistics, 2022.
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering Zhiying Xu, Francis Y. Yan, Rachee Singh, Justin T Chiu, Alexander M. Rush, and Minlan Yu. In Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2022.
Explaining Patterns in Data with Language Models via Interpretable Autoprompting Chandan Singh, John X. Morris, J. Aneja, Alexander M. Rush, and Jianfeng Gao. In arXiv.org, 2022.
Why are NLP Models Fumbling at Elementary Math? A Survey of Automatic Word Problem Solvers K. Cobbe, V. Kosaraju, Mo Bavarian, Jacob Hilton, Reiichiro Nakano, Chris Hesse, J. Devlin, Ming-Wei Chang, Kenton Lee, Robert Geirhos, J. Jacobsen, Richard Michaelis, Wieland Zemel, Brendel, Matthias Bethge, Felix A. Wichmann, Mohammad Javad Hosseini, Hanna Hajishirzi, Bugeun Kim, Kyung Seo Ki, Donggeon Lee, Rik Koncel-Kedziorski, Subhro Roy, Aida Amini, Nate Kushman, Yoav Artzi, Luke S. Zettlemoyer, Shen-Yun Miao, Chao-Chun Liang, Keh-Yih Su, Shuai Peng, Ke Yuan, Liangcai Gao, Zhi Tang, Jeffrey Pennington, R. Socher, Matthew E. Peters, Mohit Iyyer Matt Mark Neumann, Christopher Gardner, Kenton Clark, Lee Luke, Piotr Pi˛ekos, and M. Malinowski. 2022.
2021
Epistemic Semantics in Guarded String Models Eric Campbell and Mats Rooth. 2021.
Template Filling with Generative Transformers Xinya Du, Alexander M. Rush, and Claire Cardie. In NAACL, 2021.
How many data points is a prompt worth? Teven Le Scao and Alexander M. Rush. In NAACL, 2021.
Adding Chit-Chat to Enhance Task-Oriented Dialogues Kai Sun, Seungwhan Moon, Paul A. Crook, Stephen Roller, Becka Silvert, B. Liu, Zhiguang Wang, Honglei Liu, Eunjoon Cho, and Claire Cardie. In NAACL, 2021.
9.8 A 25mm2 SoC for IoT Devices with 18ms Noise-Robust Speech-to-Text Latency via Bayesian Speech Denoising and Attention-Based Sequence-to-Sequence DNN Speech Recognition in 16nm FinFET Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, M. Donato, P. Whatmough, Alexander M. Rush, D. Brooks, and Gu-Yeon Wei. In 2021 IEEE International Solid- State Circuits Conference (ISSCC), 2021.
Low-Complexity Probing via Finding Subnetworks Steven Cao, Victor Sanh, and Alexander M. Rush. In NAACL, 2021.
DATASET BIASES WITHOUT MODELING THEM Victor Sanh, Thomas Wolf, Yonatan Belinkov, and Alexander M. Rush. 2021.
Spoken Language Interaction with Robots: Recommendations for Future Research M. Marge, C. Espy-Wilson, Nigel G. Ward, A. Alwan, Yoav Artzi, M. Bansal, Gil, Blankenship, J. Chai, Hal Daumé, Debadeepta Dey, M. Harper, T. Howard, Casey, Kennington, Ivana Kruijff-Korbayová, D. Manocha, Cynthia Matuszek, R. Mead, Raymond, Mooney, Roger K. Moore, M. Ostendorf, Heather Pon-Barry, A. Rudnicky, Matthias, Scheutz, R. Amant, Tong Sun, Stefanie Tellex, D. Traum, and Zhou Yu. 2021.
Datasets: A Community Library for Natural Language Processing Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, A. Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario vSavsko, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clement Delangue, Th'eo Matussiere, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, Franccois Lagunas, Alexander M. Rush, and Thomas Wolf. 2021.
All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality William Timkey and Marten van Schijndel. 2021.
Analysis of Language Change in Collaborative Instruction Following Anna Effenberger, Eva Yan, Rhia Singh, Alane Suhr, and Yoav Artzi. 2021.
Towards an artificial intuition: Conversational markers of (anti)social dynamics Cristian Danescu-Niculescu-Mizil. In AffCon@AAAI, 2021.
Parameter-Efficient Transfer Learning with Diff Pruning Demi Guo, Alexander M. Rush, and Yoon Kim. In ACL/IJCNLP, 2021.
Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning Forrest Davis and Marten van Schijndel. In ACL/IJCNLP, 2021.
Learning from others' mistakes: Avoiding dataset biases without modeling them Victor Sanh, Thomas Wolf, Yonatan Belinkov, and Alexander M. Rush. In ICLR, 2021.
Revisiting Few-sample BERT Fine-tuning Tianyi Zhang, Felix Wu, Arzoo Katiyar, Kilian Q. Weinberger, and Yoav Artzi. In ICLR, 2021.
To Point or Not to Point: Understanding How Abstractive Summarizers Paraphrase Text Matthew Wilber, William Timkey, and Marten van Schijndel. In FINDINGS, 2021.
GenNI: Human-AI Collaboration for Data-Backed Text Generation. Hendrik Strobelt, J. Kinley, Robert Krueger, J. Beyer, H. Pfister, and Alexander M. Rush. In IEEE transactions on visualization and computer graphics, 2021.
When in Doubt: Improving Classification Performance with Alternating Normalization Menglin Jia, A. Reiter, Ser-Nam Lim, Yoav Artzi, and Claire Cardie. 2021.
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field Stanislav Lukyanenko, Won-Dong Jang, D. Wei, R. Struyven, Y. Kim, B. Leahy, Helen Yang, Alexander M. Rush, D. Ben-Yosef, D. Needleman, and H. Pfister. In MICCAI, 2021.
Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection Alane Suhr, Clara Vania, Nikita Nangia, Maarten Sap, Mark Yatskar, Sam Bowman, and Yoav Artzi. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, 2021.
Modalized normality in pictorial narratives D. Abusch and Mats Rooth. 2021.
Sequence-to-Lattice Models for Fast Translation Yuntian Deng and Alexander M. Rush. In EMNLP, 2021.
End-to-end learning of multiple sequence alignments with differentiable Smith-Waterman Samantha Petti, Nicholas Bhattacharya, Roshan Rao, Justas Dauparas, Neil Thomas, Juannan Zhou, Alexander M. Rush, Peter K. Koo, and S. Ovchinnikov. 2021.
Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior Noriyuki Kojima, Alane Suhr, and Yoav Artzi. In Transactions of the Association for Computational Linguistics, 2021.
Block Pruning For Faster Transformers Franccois Lagunas, Ella Charlaix, Victor Sanh, and Alexander M. Rush. In EMNLP, 2021.
Rationales for Sequential Predictions Keyon Vafa, Yuntian Deng, David M. Blei, and Alexander M. Rush. In EMNLP, 2021.
SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33rd Hot Chips Symposium – August 22-24, 2021 Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, M. Donato, P. Whatmough, Alexander M. Rush, D. Brooks, and Gu-Yeon Wei. In 2021 IEEE Hot Chips 33 Symposium (HCS), 2021.
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question Answering Data Dian Yu, Kai Sun, Dong Yu, and Claire Cardie. In EMNLP, 2021.
Conference demographics and footprint changed by virtual platforms M. Skiles, Euijin Yang, O. Reshef, D. Muñoz, Diana Cintron, M. Lind, Alexander M. Rush, Patricia Perez Calleja, R. Nerenberg, A. Armani, Kasey M. Faust, and Manish Kumar. In Nature Sustainability, 2021.
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution Valts Blukis, Chris Paxton, D. Fox, Animesh Garg, and Yoav Artzi. In CoRL, 2021.
Who’s Waldo? Linking People Across Text and Images Claire Yuqing Cui, Apoorv Khandelwal, Yoav Artzi, Noah Snavely, and Hadar Averbuch-Elor. In 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
Conference demographics and footprint changed by virtual platforms M. Skiles, Euijin Yang, O. Reshef, D. Muñoz, Diana Cintron, M. Lind, Alexander M. Rush, Patricia Perez Calleja, R. Nerenberg, A. Armani, Kasey M. Faust, and Manish Kumar. In Nature Sustainability, 2021.
Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction Tianze Shi and Lillian Lee. In ACL/IJCNLP, 2021.
SLUE: New Benchmark Tasks For Spoken Language Understanding Evaluation on Natural Speech Suwon Shon, Ankita Pasad, Felix Wu, Pablo Brusco, Yoav Artzi, Karen Livescu, and Kyu J. Han. In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
Performance-Efficiency Trade-Offs in Unsupervised Pre-Training for Speech Recognition Felix Wu, Kwangyoun Kim, Jing Pan, Kyu J. Han, Kilian Q. Weinberger, and Yoav Artzi. In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
Assessing Cognitive Linguistic Influences in the Assignment of Blame Karen Zhou, Ana Smith, and Lillian Lee. In SOCIALNLP, 2021.
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang A. Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Stella Rose Biderman, Leo Gao, T. Bers, Thomas Wolf, and Alexander M. Rush. In ICLR, 2021.
Learning Syntax from Naturally-Occurring Bracketings Tianze Shi, Ozan Irsoy, Igor Malioutov, and Lillian Lee. In North American Chapter of the Association for Computational Linguistics, 2021.
TGIF: Tree-Graph Integrated-Format Parser for Enhanced UD with Two-Stage Generic- to Individual-Language Finetuning Tianze Shi and Lillian Lee. In International Workshop/Conference on Parsing Technologies, 2021.
Named Tensor Notation David Chiang, Alexander M. Rush, and B. Barak. In Trans. Mach. Learn. Res., 2021.
GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction Xinya Du, Alexander M. Rush, and Claire Cardie. In Conference of the European Chapter of the Association for Computational Linguistics, 2021.
T ailor : Generating and Perturbing Text with Semantic Controls L. Banarescu, C. Bonial, Madalina Shu Cai, Kira Georgescu, Ulf Gri ﬃ tt, Kevin Hermjakob, Philipp Knight, Martha Koehn, Palmer Nathan, Samuel R. Bowman, Gabor Angeli, Christopher Potts, Christopher Clark, Kenton Lee, Ming-Wei Chang, Sumanth Dathathri, Andrea Madotto, Janice Lan, Eric Frank, Piero Molino, J. Yosinski, Matt Gardner, Yoav Artzi, Victoria Basmov, Ben Berant, Sihao Bogin, Pradeep Chen, Dasigi, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson Liu, Matthew Pe-631 ters, Michael Schmitz, Luke Zettlemoyer. 2018, William Merrill, Jesse Dodge, Jan Hajiˇc, Massimiliano Ciaramita, Richard Johans-643 son, Daisuke Kawahara, Maria Antònia Martí, Lluís Màrquez, Adam Meyers, Joakim Nivre, Sebastian Padó, Jan Štˇepánek, Pavel Straˇnák, M. Surdeanu, Kuan-Hao Huang, Kai-Wei Chang, Generat-668, N. Keskar, Bryan McCann, L. Varshney, Chuanrong Li, Shengshuo Lin, Zeyu Liu, Xinyi Wu, Xuhui Zhou, Shane Steinert-Threlkeld, Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Yiwei Lyu, P. Liang, Hai Pham, Eduard Hovy, Aman Madaan, Amrith Rajagopal Setlur, Tanmay Parekh, Hao Peng, Ankur P. Parikh, Manaal Faruqui, Bhuwan, Sameer Pradhan, Alessandro Moschitti, Nianwen Xue, Colin Ra ﬀ el, Noam M. Shazeer, A. Roberts, K. Lee, Sharan Narang, Michael Matena, Yanqi, Wei Zhou, J. LiPeter, Liu. 2020, Exploring, Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Marco Tulio Ribeiro, Carlos Guestrin, Tongshuang Wu, Alexis Ross, and Ana Marasovi´c. 2021.
2020
What is Learned in Visually Grounded Neural Syntax Acquisition Noriyuki Kojima, Hadar Averbuch-Elor, Alexander M. Rush, and Yoav Artzi. In ACL, 2020.
Dialogue-Based Relation Extraction Dian Yu, Kai Sun, Claire Cardie, and Dong Yu. In ACL, 2020.
How We Do Things With Words: Analyzing Text as Social and Cultural Data D. Nguyen, Maria Liakata, Simon Dedeo, Jacob Eisenstein, David Mimno, Rebekah Tromble, and J. Winters. In Frontiers in Artificial Intelligence, 2020.
Latent Template Induction with Gumbel-CRFs Yao Fu, Chuanqi Tan, B. Bi, M. Chen, Yansong Feng, and Alexander M. Rush. In NeurIPS, 2020.
Is there reference to questions in the grammar of focus M. Rooth. 2020.
Retouchdown: Releasing Touchdown on StreetLearn as a Public Resource for Language Grounding Tasks in Street View H. Mehta, Yoav Artzi, Jason Baldridge, E. Ie, and P. Mirowski. In SPLU, 2020.
Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches Tianze Shi and Lillian Lee. In ACL, 2020.
LAN: A Materials Notation for Two-Dimensional Layered Assemblies G. Tritsaris, Yi-qi Xie, Alexander M. Rush, S. Carr, M. Mattheakis, and E. Kaxiras. In J. Chem. Inf. Model., 2020.
WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization Faisal Ladhak, Esin Durmus, Claire Cardie, and K. McKeown. In EMNLP, 2020.
Beyond the carbon footprint: Virtual conferences increase diversity, equity, and inclusion M. Skiles, Euijin Yang, O. Reshef, D. Muñoz, Diana Cintron, M. L. Lind, Alexander M. Rush, A. M. Armani, K. Faust, and Manish Kumar. 2020.
Adversarial Semantic Collisions Congzheng Song, Alexander M. Rush, and Vitaly Shmatikov. In EMNLP, 2020.
Discourse structure interacts with reference but not syntax in neural language models Forrest Davis and Marten van Schijndel. In CoNLL, 2020.
Sequence-Level Mixed Sample Data Augmentation Demi Guo, Y. Kim, and Alexander M. Rush. In EMNLP, 2020.
Policing the Police: The Impact of "Pattern-or-Practice" Investigations on Crime T. Devi, R. Fryer, A. Abadie, L. Boustan, D. Card, J. Claiborne, Darryl DeSousa, Will Dobbie, H. Farber, E. Glaeser, M. Greenstone, Nathan Hendren, R. Holden, W. Johnson, L. Katz, A. Kowalski, S. Levitt, G. Loury, Alexandre Mas, Magne Mostad, Derek A. Neal, Lynn Overmann, Alexander M. Rush, A. Shleifer, and Christopher Winship. 2020.
Torch-Struct: Deep Structured Prediction Library Alexander M. Rush. In ACL, 2020.
Improving Event Duration Prediction via Time-aware Pre-training Zong-Lin Yang, X. Du, Alexander M. Rush, and Claire Cardie. In EMNLP, 2020.
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference Sebastian Gehrmann, Hendrik Strobelt, R. Krüger, H. Pfister, and Alexander M. Rush. In IEEE Transactions on Visualization and Computer Graphics, 2020.
ConvoKit: A Toolkit for the Analysis of Conversations Jonathan P. Chang, Caleb Chiam, Liye Fu, Andrew Z. Wang, Justine Zhang, and Cristian Danescu-Niculescu-Mizil. In SIGdial, 2020.
Event Extraction by Answering (Almost) Natural Questions X. Du and Claire Cardie. In EMNLP, 2020.
Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings Rishi Bommasani, Kelly Davis, and Claire Cardie. In ACL, 2020.
BERTScore: Evaluating Text Generation with BERT Tianyi Zhang, V. Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. In ICLR, 2020.
Confidence Boost in Dyadic Online Teamwork: An Individual-Focused Perspective Liye Fu, Andrew Z. Wang, and Cristian Danescu-Niculescu-Mizil. In ICWSM, 2020.
Exploring the Role of Argument Structure in Online Debate Persuasion Jialu Li, Esin Durmus, and Claire Cardie. In EMNLP, 2020.
Cascaded Text Generation with Markov Transformers Y. Deng and Alexander M. Rush. In NeurIPS, 2020.
Interactive Classification by Asking Informative Questions L. Yu, Howard Chen, Sida Wang, Yoav Artzi, and Tao Lei. In ACL, 2020.
Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think! Jack Hessel and Lillian Lee. In EMNLP, 2020.
Evaluating Models' Local Decision Boundaries via Contrast Sets Matt Gardner, Yoav Artzi, Jonathan Berant, Ben Bogin, Sihao Chen, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, S. Singh, N. A. Smith, Sanjay Subramanian, Eric Wallace, A. Zhang, and Ben Zhou. In EMNLP, 2020.
Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference Thierry Tambe, En-Yu Yang, Zishen Wan, Y. Deng, V. Reddi, Alexander M. Rush, D. Brooks, and Gu-Yeon Wei. In 2020 57th ACM/IEEE Design Automation Conference (DAC), 2020.
Intrinsic Evaluation of Summarization Datasets Rishi Bommasani and Claire Cardie. In EMNLP, 2020.
Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment Forrest Davis and Marten van Schijndel. In ACL, 2020.
Balancing Objectives in Counseling Conversations: Advancing Forwards or Looking Backwards Justine Zhang and Cristian Danescu-Niculescu-Mizil. In ACL, 2020.
Don’t Let Me Be Misunderstood:Comparing Intentions and Perceptions in Online Discussions Jonathan P. Chang, J. Cheng, and Cristian Danescu-Niculescu-Mizil. In WWW, 2020.
On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries Tianze Shi, Chen Zhao, Jordan L. Boyd-Graber, Hal Daumé, and Lillian Lee. In EMNLP, 2020.
Interaction with Context During Recurrent Neural Network Sentence Processing F. Davis and Marten van Schijndel. 2020.
SUMSUM@FNS-2020 Shared Task Siyan Zheng, Anneliese Lu, and Claire Cardie. In FNP, 2020.
Leveraging Structured Metadata for Improving Question Answering on the Web X. Du, Adam Fourney, Robert Sim, P. Bennett, and Claire Cardie. In AACL/IJCNLP, 2020.
Recurrent neural networks use discourse context in human-like garden path alleviation Forrest Davis and Marten van Schijndel. 2020.
It Takes Two to Lie: One to Lie, and One to Listen D. Peskov, B. Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil, and Jordan L. Boyd-Graber. In ACL, 2020.
Movement Pruning: Adaptive Sparsity by Fine-Tuning Victor Sanh, Thomas Wolf, and Alexander M. Rush. In NeurIPS, 2020.
WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization Faisal Ladhak, Esin Durmus, Claire Cardie, and K. McKeown. In EMNLP 2020, 2020.
Filler-gaps that neural networks fail to generalize Debasmita Bhattacharya and Marten van Schijndel. In CoNLL, 2020.
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset Menglin Jia, Mengyun Shi, M. Sirotenko, Yin Cui, Claire Cardie, B. Hariharan, H. Adam, and Serge J. Belongie. In ECCV, 2020.
Posterior Control of Blackbox Generation Xiang Lisa Li and Alexander M. Rush. In ACL, 2020.
Prediction in the language network is sensitive to syntactic structure Cory Shain, I. Blank, Marten van Schijndel, and E. Fedorenko. 2020.
Scaling Hidden Markov Language Models Justin T Chiu and Alexander M. Rush. In EMNLP, 2020.
fMRI reveals language-specific predictive coding during naturalistic sentence comprehension Cory Shain, I. Blank, Marten van Schijndel, W. Schuler, and E. Fedorenko. In Neuropsychologia, 2020.
Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding X. Du and Claire Cardie. In ACL, 2020.
Event Extraction by Answering (Almost) Natural Questions X. Du and Claire Cardie. In EMNLP, 2020.
GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction X. Du, Alexander M. Rush, and Claire Cardie. 2020.
Cascaded Text Generation with Markov Transformers Y. Deng and Alexander M. Rush. In NeurIPS, 2020.
Movement Pruning: Adaptive Sparsity by Fine-Tuning Victor Sanh, Thomas Wolf, and Alexander M. Rush. In NeurIPS, 2020.
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference Thierry Tambe, Coleman Hooper, Lillian Pentecost, Tianyu Jia, En-Yu Yang, M. Donato, Victor Sanh, P. Whatmough, Alexander M. Rush, David Brooks, and Gu-Yeon Wei. 2020.
Intentonomy: a Dataset and Study towards Human Intent Understanding Menglin Jia, Zuxuan Wu, A. Reiter, Claire Cardie, Serge J. Belongie, and Ser-Nam Lim. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following Valts Blukis, Ross A. Knepper, and Yoav Artzi. In CoRL, 2020.
Transformers: State-of-the-Art Natural Language Processing Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. In EMNLP 2020, 2020.
Topological Botnet Detection Jiawei Zhou, Zhiying Xu, Alexander M. Rush, and Minlan Yu. 2020.
Adding Chit-Chat to Enhance Task-Oriented Dialogues Kai Sun, Seungwhan Moon, Paul A. Crook, Stephen Roller, Becka Silvert, Bing Liu, Zhiguang Wang, Honglei Liu, Eunjoon Cho, and Claire Cardie. In NAACL, 2020.
Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, and Claire Cardie. In ACL, 2020.
Pre-trained Summarization Distillation Sam Shleifer and Alexander M. Rush. In arXiv.org, 2020.
Automating Botnet Detection with Graph Neural Networks Jiawei Zhou, Zhiying Xu, Alexander M. Rush, and Minlan Yu. In arXiv.org, 2020.
EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP Thierry Tambe, Coleman Hooper, Lillian Pentecost, En-Yu Yang, M. Donato, Victor Sanh, Alexander M. Rush, D. Brooks, and Gu-Yeon Wei. In arXiv.org, 2020.
Document-level Event-based Extraction Using Generative Template-filling Transformers X. Du, Alexander M. Rush, and Claire Cardie. In arXiv.org, 2020.
Evaluating NLP Models via Contrast Sets Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, and Ben Zhou. In arXiv.org, 2020.
Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View Harsh Mehta, Yoav Artzi, Jason Baldridge, Eugene Ie, and Piotr Wojciech Mirowski. In arXiv.org, 2020.
MiniConf - A Virtual Conference Framework Alexander M. Rush and H. Strobelt. In arXiv.org, 2020.
LAN: A Materials Notation for Two-Dimensional Layered Assemblies G. Tritsaris, Yiqi Xie, Alexander M. Rush, S. Carr, M. Mattheakis, and E. Kaxiras. In Journal of Chemical Information and Modeling, 2020.
Evaluating Models’ Local Decision Boundaries via Contrast Sets Matt Gardner, Yoav Artzi, Jonathan Berant, Ben Bogin, Sihao Chen, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Eric Wallace, Ally Zhang, and Ben Zhou. In Findings, 2020.
Intentonomy: a Dataset and Study towards Human Intent Understanding Menglin Jia, Zuxuan Wu, A. Reiter, Claire Cardie, Serge J. Belongie, and Ser-Nam Lim. In Computer Vision and Pattern Recognition, 2020.
It Takes Two to Lie: One to Lie, and One to Listen Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil, and Jordan L. Boyd-Graber. In Annual Meeting of the Association for Computational Linguistics, 2020.
2019
Unsupervised Recurrent Neural Network Grammars Yoon Kim, Alexander M. Rush, L. Yu, Adhiguna Kuncoro, Chris Dyer, and Gábor Melis. In NAACL-HLT, 2019.
EARLY FUSION for Goal Directed Robotic Vision Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Kumar Misra, Yoav Artzi, Yejin Choi, and D. Fox. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
Commonsense Knowledge Mining from Pretrained Models J. Feldman, Joe Davison, and Alexander M. Rush. In EMNLP/IJCNLP, 2019.
MASR: A Modular Accelerator for Sparse RNNs Udit Gupta, Brandon Reagen, L. Pentecost, M. Donato, Thierry Tambe, Alexander M. Rush, Gu-Yeon Wei, and D. Brooks. In 2019 28th International Conference on Parallel Architectures and Compilation Techniques (PACT), 2019.
A Corpus for Reasoning About Natural Language Grounded in Photographs Alane Suhr, Stephanie Zhou, Iris D. Zhang, Huajun Bai, and Yoav Artzi. In ACL, 2019.
Improving Machine Reading Comprehension with General Reading Strategies Kai Sun, Dian Yu, Dong Yu, and Claire Cardie. In NAACL-HLT, 2019.
Simple Unsupervised Summarization by Contextual Matching Jiawei Zhou and Alexander M. Rush. In ACL, 2019.
Seq2seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, H. Pfister, and Alexander M. Rush. In IEEE Transactions on Visualization and Computer Graphics, 2019.
Visual Interactions with Deep Models through Collaborative Semantic Inference Sebastian Gehrmann, Hendrik Strobelt, R. Krueger, H. Pfister, and Alexander M. Rush. 2019.
Neural Linguistic Steganography Zachary M. Ziegler, Y. Deng, and Alexander M. Rush. In EMNLP/IJCNLP, 2019.
Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives Liye Fu, Jonathan P. Chang, and Cristian Danescu-Niculescu-Mizil. In NAACL-HLT, 2019.
The Fashionpedia Ontology and Fashion Segmentation Dataset Menglin Jia, Mengyun Shi, M. Sirotenko, Yin Cui, B. Hariharan, Claire Cardie, and Serge J. Belongie. 2019.
TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments Howard Chen, Alane Suhr, Dipendra Kumar Misra, Noah Snavely, and Yoav Artzi. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight Valts Blukis, Yannick Terme, Eyvind Niklasson, Ross A. Knepper, and Yoav Artzi. In CoRL, 2019.
Modeling the Factors of User Success in Online Debate Esin Durmus and Claire Cardie. In WWW, 2019.
DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, and Claire Cardie. In Transactions of the Association for Computational Linguistics, 2019.
Be Consistent! Improving Procedural Text Comprehension using Label Consistency X. Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, P. Clark, and Claire Cardie. In NAACL-HLT, 2019.
Content Removal as a Moderation Strategy K. Srinivasan, Cristian Danescu-Niculescu-Mizil, Lillian Lee, and Chenhao Tan. In Proc. ACM Hum. Comput. Interact., 2019.
SPARSE: Structured Prediction using Argument-Relative Structured Encoding Rishi Bommasani, Arzoo Katiyar, and Claire Cardie. In SPNLP@NAACL-HLT, 2019.
Using syntactic priming to investigate how recurrent neural networks represent syntax Grusha Prasad, Marten van Schijndel, and Tal Linzen. 2019.
Latent Normalizing Flows for Discrete Sequences Zachary M. Ziegler and Alexander M. Rush. In ICML, 2019.
Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop Jonathan P. Chang and Cristian Danescu-Niculescu-Mizil. In EMNLP/IJCNLP, 2019.
Multi-Source Cross-Lingual Model Transfer: Learning What to Share Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, and Claire Cardie. In ACL, 2019.
Executing Instructions in Situated Collaborative Interactions Alane Suhr, Claudia Yan, Jack Schluger, S. Yu, Hadi Khader, Marwa Mouallem, Iris Zhang, and Yoav Artzi. In EMNLP/IJCNLP, 2019.
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference Yonatan Belinkov, Adam Poliak, S. Shieber, Benjamin Van Durme, and Alexander M. Rush. In ACL, 2019.
Tensor Variable Elimination for Plated Factor Graphs F. Obermeyer, Eli Bingham, M. Jankowiak, Justin T Chiu, Neeraj Pradhan, Alexander M. Rush, and Noah D. Goodman. In ICML, 2019.
Generating Abstractive Summaries with Finetuned Language Models Sebastian Gehrmann, Zachary M. Ziegler, and Alexander M. Rush. In INLG, 2019.
Compound Probabilistic Context-Free Grammars for Grammar Induction Yoon Kim, Chris Dyer, and Alexander M. Rush. In ACL, 2019.
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder Ryan Y. Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, and Michele Banko. In ACL, 2019.
Something's Brewing! Early Prediction of Controversy-causing Posts from Discussion Features Jack Hessel and Lillian Lee. In NAACL-HLT, 2019.
A Corpus for Modeling User and Language Effects in Argumentation on Online Debating Esin Durmus and Claire Cardie. In ACL, 2019.
Persuasion of the Undecided: Language vs. the Listener Liane Longpre, Esin Durmus, and Claire Cardie. In ArgMining@ACL, 2019.
fMRI reveals language-specific predictive coding during naturalistic sentence comprehension Cory Shain, Idan Blank, Marten van Schijndel, E. Fedorenko, and W. Schuler. 2019.
Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models Grusha Prasad, Marten van Schijndel, and Tal Linzen. In CoNLL, 2019.
Unsupervised Discovery of Multimodal Links in Multi-Image, Multi-Sentence Documents Jack Hessel, Lillian Lee, and D. Mimno. In EMNLP/IJCNLP, 2019.
Determining Relative Argument Specificity and Stance for Complex Argumentative Structures Esin Durmus, Faisal Ladhak, and Claire Cardie. In ACL, 2019.
The Role of Pragmatic and Discourse Context in Determining Argument Impact Esin Durmus, Faisal Ladhak, and Claire Cardie. In EMNLP/IJCNLP, 2019.
Trajectories of Blocked Community Members: Redemption, Recidivism and Departure Jonathan P. Chang and Cristian Danescu-Niculescu-Mizil. In WWW, 2019.
Finding Your Voice: The Linguistic Development of Mental Health Counselors Justine Zhang, Robert Filbin, C. Morrison, Jaclyn Weiser, and Cristian Danescu-Niculescu-Mizil. In ACL, 2019.
GLTR: Statistical Detection and Visualization of Generated Text Sebastian Gehrmann, Hendrik Strobelt, and Alexander M. Rush. In ACL, 2019.
Understanding Reader Backtracking Behavior in Online News Articles Uzi Smadja, Max Grusky, Yoav Artzi, and M. Naaman. In WWW, 2019.
fMRI reveals language-specific predictive coding during naturalistic sentence comprehension Cory Shain, Idan Blank, Marten van Schijndel, W. Schuler, and E. Fedorenko. 2019.
Les échos du pouvoir Cristian Danescu-Niculescu-Mizil, L. Lee, Bo Pang, J. Kleinberg, and Liz Libbrecht. 2019.
Indexing Across Media M. Rooth and D. Abusch. 2019.
Les échos du pouvoir: Effets de langage et écarts de pouvoir dans les interactions sociales Cristian Danescu-Niculescu-Mizil, Lillian Lee, B. Pang, J. Kleinberg, and Liz Libbrecht. 2019.
Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension Kai Sun, Dian Yu, D. Yu, and Claire Cardie. In Transactions of the Association for Computational Linguistics, 2019.
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference Yonatan Belinkov, Adam Poliak, S. Shieber, Benjamin Van Durme, and Alexander M. Rush. In *SEM@NAACL-HLT, 2019.
Quantity doesn't buy quality syntax with neural language models Marten van Schijndel, Aaron Mueller, and Tal Linzen. In EMNLP/IJCNLP, 2019.
Avoiding Latent Variable Collapse With Generative Skip Models Adji B. Dieng, Yoon Kim, Alexander M. Rush, and D. Blei. In AISTATS, 2019.
Interactive Classification by Asking Informative Questions L. Yu, Howard Chen, Sida Wang, Yoav Artzi, and Tao Lei. In ACL, 2019.
Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension Kai Sun, Dian Yu, Dong Yu, and Claire Cardie. In TACL, 2019.
Encoder-Agnostic Adaptation for Conditional Language Generation Zachary M. Ziegler, Luke Melas-Kyriazi, Sebastian Gehrmann, and Alexander M. Rush. In arXiv.org, 2019.
A Hierarchy of Graph Neural Networks Based on Learnable Local Features M. Li, Meng Dong, Jiawei Zhou, and Alexander M. Rush. In arXiv.org, 2019.
AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, V. Reddi, Alexander M. Rush, D. Brooks, and Gu-Yeon Wei. In arXiv.org, 2019.
NLVR2 Visual Bias Analysis Alane Suhr and Yoav Artzi. In arXiv.org, 2019.
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference Sebastian Gehrmann, Hendrik Strobelt, Robert Krüger, H. Pfister, and Alexander M. Rush. In IEEE Transactions on Visualization and Computer Graphics, 2019.
2018
Understanding the Effect of Gender and Stance in Opinion Expression in Debates on "Abortion" Esin Durmus and Claire Cardie. In PEOPLES@NAACL-HTL, 2018.
WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community Yiqing Hua, Cristian Danescu-Niculescu-Mizil, D. Taraborelli, Nithum Thain, J. Sorensen, and Lucas Dixon. In EMNLP, 2018.
OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU Jean Senellart, Dakun Zhang, Bo Wang, G. Klein, Jean-Pierre Ramatchandirin, J. Crego, and Alexander M. Rush. In NMT@ACL, 2018.
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks Hendrik Strobelt, Sebastian Gehrmann, H. Pfister, and Alexander M. Rush. In IEEE Transactions on Visualization and Computer Graphics, 2018.
SparseMAP: Differentiable Sparse Structured Inference Vlad Niculae, André F. T. Martins, Mathieu Blondel, and Claire Cardie. In ICML, 2018.
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction Dipendra Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, and Yoav Artzi. In EMNLP, 2018.
Learning topic models -- provably and efficiently Sanjeev Arora, R. Ge, Yoni Halpern, David Mimno, A. Moitra, D. Sontag, Yichen Wu, and M. Zhu. In Commun. ACM, 2018.
Darling or Babygirl? Investigating Stylistic Bias in Sentiment Analysis J. Shen, Lauren Fratamico, I. Rahwan, and Alexander M. Rush. 2018.
Nested Named Entity Recognition Revisited Arzoo Katiyar and Claire Cardie. In NAACL-HLT, 2018.
A Neural Model of Adaptation in Reading Marten van Schijndel and Tal Linzen. In EMNLP, 2018.
Evaluating Visual Reasoning through Grounded Language Understanding Alane Suhr, M. Lewis, James Yeh, and Yoav Artzi. In AI Mag., 2018.
Unsupervised Multilingual Word Embeddings Xilun Chen and Claire Cardie. In EMNLP, 2018.
Computational Cut-Ups: The Influence of Dada Laure Thompson and David Mimno. 2018.
Towards Dynamic Computation Graphs via Sparse Latent Structure Vlad Niculae, André F. T. Martins, and Claire Cardie. In EMNLP, 2018.
Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation Alane Suhr and Yoav Artzi. In ACL, 2018.
Evidence of semantic processing difficulty in naturalistic reading Cory Shain, Richard Futrell, Marten van Schijndel, E. L. Gibson, W. Schuler, and E. Fedorenko. 2018.
A Corpus of eRulemaking User Comments for Measuring Evaluability of Arguments Joonsuk Park and Claire Cardie. In LREC, 2018.
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction Valts Blukis, Dipendra Misra, Ross A. Knepper, and Yoav Artzi. In CoRL, 2018.
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification Xilun Chen, Y. Sun, Ben Athiwaratkun, Claire Cardie, and Kilian Q. Weinberger. In Transactions of the Association for Computational Linguistics, 2018.
Bottom-Up Abstractive Summarization Sebastian Gehrmann, Y. Deng, and Alexander M. Rush. In EMNLP, 2018.
Exploring the Role of Prior Beliefs for Argument Persuasion Esin Durmus and Claire Cardie. In NAACL-HLT, 2018.
Conversations Gone Awry: Detecting Early Signs of Conversational Failure Justine Zhang, Cristian Danescu-Niculescu-Mizil, Cristian Danescu-Niculescu-Mizil, Lucas Dixon, Yiqing Hua, Nithum Thain, and D. Taraborelli. In ACL, 2018.
Multinomial Adversarial Networks for Multi-Domain Text Classification Xilun Chen and Claire Cardie. In NAACL-HLT, 2018.
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning Valts Blukis, Nataly Brukhim, Andrew Bennett, Ross A. Knepper, and Yoav Artzi. In Robotics: Science and Systems, 2018.
Adversarially Regularized Autoencoders J. Zhao, Yoon Kim, K. Zhang, Alexander M. Rush, and Y. LeCun. In ICML, 2018.
The Annotated Transformer Alexander M. Rush. 2018.
Weightless: Lossy Weight Encoding For Deep Neural Network Compression Brandon Reagen, Udit Gupta, Bob Adolf, M. Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, and D. Brooks. In ICML, 2018.
2 Background : Latent Alignment and Neural Attention Y. Deng, Justin T Chiu, Demi Guo, and Alexander M. Rush. 2018.
Deep Syntactic Annotations for Broad-Coverage Psycholinguistic Modeling Cory Shain, Marten van Schijndel, and W. Schuler. 2018.
Simple Recurrent Units for Highly Parallelizable Recurrence T. Lei, Y. Zhang, Sida I. Wang, Hui Dai, and Yoav Artzi. In EMNLP, 2018.
Valency-Augmented Dependency Parsing Tianze Shi and Lillian Lee. In EMNLP, 2018.
End-to-End Content and Plan Selection for Data-to-Text Generation Sebastian Gehrmann, Falcon Z. Dai, H. Elder, and Alexander M. Rush. In INLG, 2018.
Latent Alignment and Variational Attention Y. Deng, Yoon Kim, Justin T Chiu, Demi Guo, and Alexander M. Rush. In NeurIPS, 2018.
OpenNMT: Neural Machine Translation Toolkit G. Klein, Yoon Kim, Y. Deng, Vincent Nguyen, Jean Senellart, and Alexander M. Rush. In AMTA, 2018.
Zero-Resource Multilingual Model Transfer: Learning What to Share Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, W. Wang, and Claire Cardie. 2018.
Learning to Map Context-Dependent Sentences to Executable Formal Queries Alane Suhr, Srini Iyer, and Yoav Artzi. In NAACL-HLT, 2018.
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies Max Grusky, M. Naaman, and Yoav Artzi. In NAACL-HLT, 2018.
Deep Latent Variable Models of Natural Language Alexander M. Rush, Y. Kim, and Sam Wiseman. In EMNLP 2018, 2018.
Harvesting Paragraph-Level Question-Answer Pairs from Wikipedia X. Du and Claire Cardie. In ACL, 2018.
Learning Neural Templates for Text Generation Sam Wiseman, S. Shieber, and Alexander M. Rush. In EMNLP, 2018.
Entity Tracking Improves Cloze-style Reading Comprehension Luong Hoang, Sam Wiseman, and Alexander M. Rush. In EMNLP, 2018.
How to Assess and Rank User-Generated Content on Web Elaheh Momeni, Claire Cardie, and N. Diakopoulos. In WWW, 2018.
Semi-Amortized Variational Autoencoders Yoon Kim, Sam Wiseman, A. Miller, D. Sontag, and Alexander M. Rush. In ICML, 2018.
Training for Diversity in Image Paragraph Captioning Luke Melas-Kyriazi, Alexander M. Rush, and G. Han. In EMNLP, 2018.
Modeling garden path effects without explicit hierarchical syntax Marten van Schijndel and Tal Linzen. In CogSci, 2018.
Characterizing Online Public Discussions through Patterns of Participant Interactions Justine Zhang, Cristian Danescu-Niculescu-Mizil, Christina Sauper, and S. Taylor. In Proc. ACM Hum. Comput. Interact., 2018.
Quantifying the visual concreteness of words and topics in multimodal datasets Jack Hessel, David Mimno, and Lillian Lee. In NAACL-HLT, 2018.
Picture Descriptions and Centered Content Mats Rooth and D. Abusch. 2018.
The Tell-Tale Hat: Surfacing the Uncertainty in Folklore Classification Peter M. Broadwell, David Mimno, and Timothy R. Tangherlini. 2018.
Only meets vagueness 1 K. Yabushita, J. Deveaugh-Geiss, M. Grubic, Peter Lasersohn, M. Krifka, Mats Rooth, Y. Sudo, and H. Rohde. 2018.
Improving Coverage and Runtime Complexity for Exact Inference in Non-Projective Transition-Based Dependency Parsers Tianze Shi, Carlos Gómez-Rodríguez, and Lillian Lee. In North American Chapter of the Association for Computational Linguistics, 2018.
Global Transition-based Non-projective Dependency Parsing Carlos Gómez-Rodríguez, Tianze Shi, and Lillian Lee. In Annual Meeting of the Association for Computational Linguistics, 2018.
Can Entropy Explain Successor Surprisal Effects in Reading? Marten van Schijndel and Tal Linzen. In arXiv.org, 2018.
The Neural Painter: Multi-Turn Image Generation Ryan Y. Benmalek, Claire Cardie, Serge J. Belongie, Xiaodong He, and Jianfeng Gao. In arXiv.org, 2018.
CHALET: Cornell House Agent Learning Environment Claudia Yan, Dipendra Misra, Andrew Bennett, Aaron Walsman, Yonatan Bisk, and Yoav Artzi. In arXiv.org, 2018.
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim, Sam Wiseman, and Alexander M. Rush. In arXiv.org, 2018.
Latent Alignment and Variational Attention Yuntian Deng, Yoon Kim, Justin T Chiu, Demi Guo, and Alexander M. Rush. In Neural Information Processing Systems, 2018.
Modeling bilingual word associations as connected monolingual networks A. Sayeed, C. Jacobs, Tal Linzen, and Marten van Schijndel. In Workshop on Cognitive Modeling and Computational Linguistics, 2018.
Characterizing Online Public Discussions through Patterns of Participant Interactions Justine Zhang, Cristian Danescu-Niculescu-Mizil, Christina Sauper, and Sean J. Taylor. In Proc. ACM Hum. Comput. Interact., 2018.
TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments Howard Chen, Alane Suhr, Dipendra Kumar Misra, Noah Snavely, and Yoav Artzi. In Computer Vision and Pattern Recognition, 2018.
Simplification data README Mark Yatskar, Bo Pang, Cristian Danescu-Niculescu-Mizil, and Lillian Lee. 2018.
2017
Cornell Belief and Sentiment System at TAC 2017 Kai Sun and Claire Cardie. In TAC, 2017.
Anyone Can Become a Troll J. Cheng, Cristian Danescu-Niculescu-Mizil, J. Leskovec, and Michael S. Bernstein. 2017.
Acoustic Classification of Focus: On the Web and in the Lab J. Howell, M. Rooth, and M. Wagner. 2017.
Pulling Out the Stops: Rethinking Stopword Removal for Topic Models Alexandra Schofield, Måns Magnusson, and David Mimno. In EACL, 2017.
Structured Attention Networks Yoon Kim, Carl Denton, Luong Hoang, and Alexander M. Rush. In ICLR, 2017.
A Corpus of Natural Language for Visual Reasoning Alane Suhr, M. Lewis, James Yeh, and Yoav Artzi. In ACL, 2017.
Finite state intensional semantics M. Rooth. In IWCS, 2017.
Challenges in Data-to-Document Generation Sam Wiseman, S. Shieber, and Alexander M. Rush. In EMNLP, 2017.
Argument Mining with Structured SVMs and RNNs Vlad Niculae, Joonsuk Park, and Claire Cardie. In ACL, 2017.
Adapting Sequence Models for Sentence Correction Allen Schmaltz, Yoon Kim, Alexander M. Rush, and S. Shieber. In EMNLP, 2017.
Lie-Access Neural Turing Machines Greg Yang and Alexander M. Rush. In ICLR, 2017.
The strange geometry of skip-gram with negative sampling David Mimno and Laure Thompson. In EMNLP, 2017.
Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models Moontae Lee, D. Bindel, and David Mimno. In ArXiv, 2017.
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction Mohamed Al-Badrashiny, Jason Bolton, A. Chaganty, K. Clark, Craig Harman, Lifu Huang, Matthew Lamm, Jinhao Lei, Di Lu, Xiaoman Pan, Ashwin Paranjape, Ellie Pavlick, H. Peng, Peng Qi, Pushpendre Rastogi, A. See, Kai Sun, Max Thomas, Chen-Tse Tsai, H. Wu, Boliang Zhang, Chris Callison-Burch, Claire Cardie, Huai-zhong Ji, Christopher D. Manning, S. Muresan, Owen Rambow, D. Roth, Mark Sammons, and Benjamin Van Durme. In TAC, 2017.
Quantifying the Effects of Text Duplication on Semantic Models Alexandra Schofield, Laure Thompson, and David Mimno. In EMNLP, 2017.
Community Identity and User Engagement in a Multi-Community Landscape Justine Zhang, William L. Hamilton, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, and J. Leskovec. In ICWSM, 2017.
Modeling Sub-Document Attention Using Viewport Time Max Grusky, J. Jahani, Josh Schwartz, D. Valente, Yoav Artzi, and M. Naaman. In CHI, 2017.
The Tell-Tale Hat: Surfacing the Uncertainty in Folklore Classification Peter Broadwell, David Mimno, and Timothy R. Tangherlini. 2017.
Tracing the Use of Practices Through Networks of Collaboration R. Rotabi, Cristian Danescu-Niculescu-Mizil, and J. Kleinberg. In ICWSM, 2017.
Comparing grounded theory and topic modeling: Extreme divergence or unlikely convergence? Eric Baumer, David Mimno, Shion Guha, Emily Quan, and G. Gay. In J. Assoc. Inf. Sci. Technol., 2017.
Keeping Apace with Progress in Natural Language Processing Claire Cardie. In WSDM, 2017.
Replication Data for: Finite state intensional semantics M. Rooth. 2017.
Coarse-to-Fine Attention Models for Document Summarization Jeffrey Ling and Alexander M. Rush. In NFiS@EMNLP, 2017.
Loyalty in Online Communities William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, and J. Leskovec. In ICWSM, 2017.
Applications of Topic Models Jordan L. Boyd-Graber, Yuening Hu, and David Mimno. In Found. Trends Inf. Retr., 2017.
Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions J. Cheng, Michael S. Bernstein, Cristian Danescu-Niculescu-Mizil, and J. Leskovec. In CSCW, 2017.
When Confidence and Competence Collide: Effects on Online Decision-Making Discussions Liye Fu, Lillian Lee, and Cristian Danescu-Niculescu-Mizil. In WWW, 2017.
Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees Arzoo Katiyar and Claire Cardie. In ACL, 2017.
Approximations of Predictive Entropy Correlate with Reading Times Marten van Schijndel and W. Schuler. In CogSci, 2017.
Identifying Where to Focus in Reading Comprehension for Neural Question Generation X. Du and Claire Cardie. In EMNLP, 2017.
The Formal Semantics of Free Perception in Pictorial Narratives D. Abusch and M. Rooth. 2017.
Visual Reasoning with Natural Language Stephanie Zhou, Alane Suhr, and Yoav Artzi. In ArXiv, 2017.
Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity Jack Hessel, Lillian Lee, and David Mimno. In WWW, 2017.
Retrieving structures from memory causes difficulty during incremental processing Cory Shain, Marten van Schijndel, Richard Futrell, E. Gibson, and W. Schuler. 2017.
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning Dipendra Kumar Misra, J. Langford, and Yoav Artzi. In EMNLP, 2017.
OpenNMT: Open-Source Toolkit for Neural Machine Translation G. Klein, Yoon Kim, Y. Deng, Jean Senellart, and Alexander M. Rush. In ACL, 2017.
The Influence of Syntactic Frequencies on Human Sentence Processing Marten van Schijndel. 2017.
Using Argumentative Structure to Interpret Debates in Online Deliberative Democracy and eRulemaking John Lawrence, Joonsuk Park, Katarzyna Budzynska, Claire Cardie, Barbara Konat, and C. Reed. In ACM Trans. Internet Techn., 2017.
Competition and Selection Among Conventions R. Rotabi, Cristian Danescu-Niculescu-Mizil, and J. Kleinberg. In WWW, 2017.
Learning to Ask: Neural Question Generation for Reading Comprehension X. Du, Junru Shao, and Claire Cardie. In ACL, 2017.
MPQA Opinion Corpus T. Wilson, J. Wiebe, and Claire Cardie. 2017.
Dilated Convolutions for Modeling Long-Distance Genomic Dependencies A. Gupta and Alexander M. Rush. 2017.
Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set Tianze Shi, Liang Huang, and Lillian Lee. In EMNLP, 2017.
Image-to-Markup Generation with Coarse-to-Fine Attention Y. Deng, Anssi Kanervisto, Jeffrey Ling, and Alexander M. Rush. In ICML, 2017.
Asking too much? The rhetorical role of questions in political discourse Justine Zhang, A. Spirling, and Cristian Danescu-Niculescu-Mizil. In EMNLP, 2017.
Adversarially Regularized Autoencoders for Generating Discrete Structures J. Zhao, Yoon Kim, K. Zhang, Alexander M. Rush, and Y. LeCun. In ArXiv, 2017.
Picture Descriptions and Centered Content1 Mats Rooth and H. Rohde. 2017.
A Neural Framework for Low-Shot Learning A. Wang and Alexander M. Rush. 2017.
Edinburgh Research Explorer Modeling bilingual word associations as connected monolingual networks A. Sayeed, C. Jacobs, Tal Linzen, and Marten van Schijndel. 2017.
Weightless: Lossy Weight Encoding For Deep Neural Network Compression Brandon Reagen, Udit Gupta, Bob Adolf, M. Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, and D. Brooks. In International Conference on Machine Learning, 2017.
Training RNNs as Fast as CNNs Tao Lei, Yu Zhang, and Yoav Artzi. In Conference on Empirical Methods in Natural Language Processing, 2017.
Weightless: Lossy Weight Encoding For Deep Neural Network Compression Brandon Reagen, Udit Gupta, Bob Adolf, M. Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, and D. Brooks. In International Conference on Machine Learning, 2017.
Modeling Sub-Document Attention Using Viewport Time Max Grusky, J. Jahani, Josh Schwartz, D. Valente, Yoav Artzi, and Mor Naaman. In International Conference on Human Factors in Computing Systems, 2017.
Bilingual Word Embeddings Softm ax Chn 这里服务很好。 F ( x ) avg P ( x ) Q ( x ) Sentiment Language Very Xilun Chen, Claire Cardie, and Kilian Weinberger. 2017.
2016
Exploring memory and processing through a gold standard annotation of Dundee Cory Shain, Marten van Schijndel, Edward Gibson, and W. Schuler. 2016.
Conversational Flow in Oxford-style Debates Justine Zhang, Ravi Kumar, S. Ravi, and Cristian Danescu-Niculescu-Mizil. In HLT-NAACL, 2016.
Neural Shift-Reduce CCG Semantic Parsing Dipendra Misra and Yoav Artzi. In EMNLP, 2016.
Internet Collaboration on Extremely Difficult Problems: Research versus Olympiad Questions on the Polymath Site Isabel M. Kloumann, Chenhao Tan, J. Kleinberg, and Lillian Lee. In WWW, 2016.
Propagation of Gaussian Beams in the Presence of Gain and Loss E. Graefe, Alexander M. Rush, and R. Schubert. In IEEE Journal of Selected Topics in Quantum Electronics, 2016.
Investigating LSTMs for Joint Extraction of Opinion Entities and Relations Arzoo Katiyar and Claire Cardie. In ACL, 2016.
Salience and Attention in Surprisal-Based Accounts of Language Processing Alessandra Zarcone, Marten van Schijndel, J. Vogels, and V. Demberg. In Front. Psychol., 2016.
Character-Aware Neural Language Models Yoon Kim, Yacine Jernite, D. Sontag, and Alexander M. Rush. In AAAI, 2016.
An Embedding Model for Predicting Roll-Call Votes P. Kraft, Hirsh Jain, and Alexander M. Rush. In EMNLP, 2016.
Sequence-Level Knowledge Distillation Yoon Kim and Alexander M. Rush. In EMNLP, 2016.
Summarizing Decisions in Spoken Meetings Lu Wang and Claire Cardie. In ArXiv, 2016.
Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, and Lillian Lee. In WWW, 2016.
Beyond Exchangeability: The Chinese Voting Process Moontae Lee, Seok Hyun Jin, and David Mimno. In NIPS, 2016.
Antecedent Prediction Without a Pipeline Sam Wiseman, Alexander M. Rush, and S. Shieber. In CORBON@HLT-NAACL, 2016.
Talk it up or play it down? (Un)expected correlations between (de-)emphasis and recurrence of discussion points in consequential U.S. economic policy meetings Chenhao Tan and Lillian Lee. In ArXiv, 2016.
Investigating locality effects and surprisal in written English syntactic choice phenomena R. Rajkumar, Marten van Schijndel, Michael White, and W. Schuler. In Cognition, 2016.
Machine Learning and Grounded Theory Method: Convergence, Divergence, and Combination M. Muller, Shion Guha, Eric Baumer, David Mimno, and N. S. Shami. In GROUP, 2016.
Word Ordering Without Syntax Allen Schmaltz, Alexander M. Rush, and S. Shieber. In EMNLP, 2016.
Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks Hendrik Strobelt, Sebastian Gehrmann, B. Huber, H. Pfister, and Alexander M. Rush. In ArXiv, 2016.
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks S. Chopra, M. Auli, and Alexander M. Rush. In HLT-NAACL, 2016.
Tie-breaker: Using language models to quantify gender bias in sports journalism Liye Fu, Cristian Danescu-Niculescu-Mizil, and Lillian Lee. In ArXiv, 2016.
Addressing surprisal deficiencies in reading time models Marten van Schijndel and W. Schuler. In CL4LC@COLING 2016, 2016.
The 2016 TAC KBP BeSt Evaluation Owen Rambow, D. Bauer, A. Radeva, M. Alagesan, Gregorios A. Katsios, T. Strzalkowski, Claire Cardie, Mona T. Diab, Michael Arrigo, J. Tracey, Adam Dalton, and Greg Dubbin. In TAC, 2016.
A Survey on Assessment and Ranking Methodologies for User-Generated Content on the Web Elaheh Momeni, Claire Cardie, and N. Diakopoulos. In ACM Comput. Surv., 2016.
Memory access during incremental sentence processing causes reading time latency Cory Shain, Marten van Schijndel, Richard Futrell, Edward Gibson, and W. Schuler. In CL4LC@COLING 2016, 2016.
Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities Jack Hessel, Chenhao Tan, and Lillian Lee. In ICWSM, 2016.
Message Impartiality in Social Media Discussions M. Zafar, K. Gummadi, and Cristian Danescu-Niculescu-Mizil. In ICWSM, 2016.
What You Get Is What You See: A Visual Markup Decompiler Y. Deng, Anssi Kanervisto, and Alexander M. Rush. In ArXiv, 2016.
Comparing Apples to Apple: The Effects of Stemmers on Topic Models Alexandra Schofield and David Mimno. In Transactions of the Association for Computational Linguistics, 2016.
Sequence-to-Sequence Learning as Beam-Search Optimization Sam Wiseman and Alexander M. Rush. In EMNLP, 2016.
Conversational Markers of Constructive Discussions Vlad Niculae and Cristian Danescu-Niculescu-Mizil. In HLT-NAACL, 2016.
Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction Allen Schmaltz, Yoon Kim, Alexander M. Rush, and S. Shieber. In BEA@NAACL-HLT, 2016.
Alternative Semantics M. Rooth. 2016.
Screening for Alzheimer ’ s with psycholinguistics Marten van Schijndel and Kathleen C. Fraser. 2016.
Learning Global Features for Coreference Resolution Sam Wiseman, Alexander M. Rush, and S. Shieber. In HLT-NAACL, 2016.
Headed span theory in the finite state calculus M. Rooth. 2016.
Physics-Inspired Neural Networks for Efficient Device Compact Modeling Mingda Li, Ozan İrsoy, Claire Cardie, and H. Xing. In IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2016.
Can measures of processing complexity predict progressive aphasia from speech ? ! ! Kathleen C. Fraser, Marten van Schijndel, N. Graham, E. Rochon, and S. Black. 2016.
Word Ordering Without Syntax The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters A. Schmaltz, Alexander M. Rush, and S. Shieber. 2016.
Image-to-Markup Generation with Coarse-to-Fine Attention Yuntian Deng, A. Kanervisto, Jeffrey Ling, and Alexander M. Rush. In International Conference on Machine Learning, 2016.
Opinion Mining and Summarization of User statements in Health Communities Cleon Philip Sequeira, H. Kumar, K. Kumar, M. Bhargav, Prof Prashanth, Subhabrata Mukherjeey, Gerhard Weikumy, and Cristian Danescu-Niculescu-Mizil. 2016.
2015
QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns Vlad Niculae, Caroline Suen, Justine Zhang, Cristian Danescu-Niculescu-Mizil, and J. Leskovec. In WWW, 2015.
SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability Eneko Agirre, Carmen Banea, Claire Cardie, Daniel Matthew Cer, Mona T. Diab, A. Gonzalez-Agirre, Weiwei Guo, I. Lopez-Gazpio, M. Maritxalar, R. Mihalcea, German Rigau, L. Uria, and J. Wiebe. In SemEval@NAACL-HLT, 2015.
Representing Focus Scoping over New M. Rooth. 2015.
Evaluation methods for unsupervised word embeddings Tobias Schnabel, I. Labutov, David Mimno, and T. Joachims. In EMNLP, 2015.
Antisocial Behavior in Online Discussion Communities Justin Cheng, Cristian Danescu-Niculescu-Mizil, and J. Leskovec. In ICWSM, 2015.
What do Vegans do in their Spare Time? Latent Interest Detection in Multi-Community Networks Jack Hessel, Alexandra Schofield, Lillian Lee, and David Mimno. In ArXiv, 2015.
A Fast Variational Approach for Learning Markov Random Field Language Models Yacine Jernite, Alexander M. Rush, and D. Sontag. In ICML, 2015.
A Hierarchical Distance-dependent Bayesian Model for Event Coreference Resolution B. Yang, Claire Cardie, and P. Frazier. In Transactions of the Association for Computational Linguistics, 2015.
Modeling Compositionality with Multiplicative Recurrent Neural Networks Ozan Irsoy and Claire Cardie. In ICLR, 2015.
What do Democrats do in their Spare Time? Latent Interest Detection in Multi-Community Networks Jack Hessel, Alexandra Schofield, Lillian Lee, and D. Mimno. 2015.
Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution Sam Wiseman, Alexander M. Rush, S. Shieber, and J. Weston. In ACL, 2015.
A Neural Attention Model for Abstractive Sentence Summarization Alexander M. Rush, S. Chopra, and J. Weston. In EMNLP, 2015.
Socially-Informed Timeline Generation for Complex Events Lu Wang, Claire Cardie, and G. Marchetti. In HLT-NAACL, 2015.
Evidence of syntactic working memory usage in MEG data Marten van Schijndel, B. Murphy, and W. Schuler. In CMCL@NAACL-HLT, 2015.
Toward machine-assisted participation in eRulemaking: an argumentation model of evaluability Joonsuk Park, Cheryl Blake, and Claire Cardie. In ICAIL, 2015.
Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game Vlad Niculae, Srijan Kumar, Jordan L. Boyd-Graber, and Cristian Danescu-Niculescu-Mizil. In ACL, 2015.
Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game Vlad Niculae, Srijan Kumar, Jordan L. Boyd-Graber, and Cristian Danescu-Niculescu-Mizil. In ACL, 2015.
Transforming Dependencies into Phrase Structures Lingpeng Kong, Alexander M. Rush, and Noah A. Smith. In HLT-NAACL, 2015.
AZMAT: Sentence Similarity Using Associative Matrices Evan Jaffe, Lifeng Jin, D. King, and Marten van Schijndel. In SemEval@NAACL-HLT, 2015.
Missing Photos, Suffering Withdrawal, or Finding Freedom? How Experiences of Social Media Non-Use Influence the Likelihood of Reversion Eric Baumer, Shion Guha, Emily Quan, and David Mimno. 2015.
A Neural Attention Model for Sentence Summarization Alexander M. Rush, Harvard Seas, S. Chopra, and J. Weston. 2015.
Robust Spectral Inference for Joint Stochastic Matrix Factorization Moontae Lee, D. Bindel, and David Mimno. In NIPS, 2015.
All Who Wander: On the Prevalence and Characteristics of Multi-community Engagement Chenhao Tan and Lillian Lee. In WWW, 2015.
Broad-coverage CCG Semantic Parsing with AMR Yoav Artzi, Kenton Lee, and Luke Zettlemoyer. In EMNLP, 2015.
Situated Learning and Understanding of Natural Language Yoav Artzi. 2015.
Hierarchic syntax improves reading time prediction Marten van Schijndel and W. Schuler. In HLT-NAACL, 2015.
Event Detection and Factuality Assessment with Non-Expert Supervision Kenton Lee, Yoav Artzi, Yejin Choi, and Luke Zettlemoyer. In EMNLP, 2015.
A Neural Attention Model for Abstractive Sentence Summarization Alexander M. Rush, S. Chopra, and J. Weston. In Conference on Empirical Methods in Natural Language Processing, 2015.
Missing Photos, Suffering Withdrawal, or Finding Freedom? How Experiences of Social Media Non-Use Influence the Likelihood of Reversion E. Baumer, Shion Guha, Emily Quan, and David Mimno. 2015.
Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game Vlad Niculae, Srijan Kumar, Jordan L. Boyd-Graber, and Cristian Danescu-Niculescu-Mizil. In Annual Meeting of the Association for Computational Linguistics, 2015.
2014
Joint Modeling of Opinion Expression Extraction and Attribute Classification B. Yang and Claire Cardie. In Transactions of the Association for Computational Linguistics, 2014.
Learning to Automatically Solve Algebra Word Problems Nate Kushman, Luke Zettlemoyer, R. Barzilay, and Yoav Artzi. In ACL, 2014.
Programming by Demonstration with Situated Semantic Parsing Yoav Artzi, M. Forbes, Kenton Lee, and M. Cakmak. In AAAI Fall Symposia, 2014.
39. Opinion mining and sentiment analysis Eric Breck and Claire Cardie. 2014.
Jordan Boyd-Graber, David Mimno, and David Newman. Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements. Handbook of Mixed Membership Models and Their Applications, 2014. Boca Raton, Jordan L. Boyd-Graber, David Mimno, D. Newman, E. Airoldi, D. Blei, E. Erosheva, and S. Fienberg. 2014.
Frequency effects in the processing of unbounded dependencies Marten van Schijndel, W. Schuler, and P. Culicover. In CogSci, 2014.
The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter Chenhao Tan, Lillian Lee, and B. Pang. In ACL, 2014.
SemEval-2014 Task 10: Multilingual Semantic Textual Similarity Eneko Agirre, Carmen Banea, Claire Cardie, Daniel Matthew Cer, Mona T. Diab, A. Gonzalez-Agirre, Weiwei Guo, R. Mihalcea, German Rigau, and J. Wiebe. In SemEval@COLING, 2014.
AsseSS: A Tool for Assessing the Support Structures of Arguments in User Comments Joonsuk Park and Claire Cardie. In COMMA, 2014.
Sentiment analysis on evolving social streams: how self-report imbalances can help P. C. Guerra, W. Meira, and Claire Cardie. In WSDM, 2014.
Book Reviews: Sentiment Analysis and Opinion Mining by Bing Liu Claire Cardie. In CL, 2014.
Context-aware Learning for Sentence-level Sentiment Analysis with Posterior Regularization B. Yang and Claire Cardie. In ACL, 2014.
A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection Lu Wang and Claire Cardie. In ACL, 2014.
Lagrangian relaxation for natural language decoding Alexander M. Rush. 2014.
Overview of the 2014 NLP Unshared Task in PoliInformatics Noah A. Smith, Claire Cardie, A. Washington, and J. Wilkerson. In LTCSS@ACL, 2014.
Identifying Appropriate Support for Propositions in Online User Comments Joonsuk Park and Claire Cardie. In ArgMining@ACL, 2014.
Bootstrapping into Filler-Gap: An Acquisition Story Marten van Schijndel and M. Elsner. In ACL, 2014.
A Constrained Viterbi Relaxation for Bidirectional Word Alignment Yin-Wen Chang, Alexander M. Rush, John DeNero, and M. Collins. In ACL, 2014.
Improving on Recall Errors for Coreference Resolution B. Yang and Claire Cardie. 2014.
Care and Feeding of Topic Models Jordan L. Boyd-Graber, David Mimno, and D. Newman. In Handbook of Mixed Membership Models and Their Applications, 2014.
Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts J. Li, Alan Ritter, Claire Cardie, and E. Hovy. In EMNLP, 2014.
A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication Chenhao Tan and Lillian Lee. In ACL, 2014.
The Enrollment Effect: A Study of Amazon’s Vine Program Dinesh Puranam and Claire Cardie. 2014.
Context-dependent Semantic Parsing for Time Expressions Kenton Lee, Yoav Artzi, Jesse Dodge, and Luke Zettlemoyer. In ACL, 2014.
Query-Focused Opinion Summarization for User-Generated Content Lu Wang, H. Raghavan, Claire Cardie, and V. Castelli. In COLING, 2014.
Sentiment Analysis and Opinion Mining Bing Liu (University of Illinois at Chicago) Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, 5(1)), 2012, 167 pp; paperbound, ISBN 978-1-60845-884-4 Claire Cardie. In Computational Linguistics, 2014.
Operators for Definition by Paraphrase M. Rooth. 2014.
Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment Lexicon Lu Wang and Claire Cardie. In WASSA@ACL, 2014.
Query-focused Summarization ( CEAQS ) : A Summarization Framework to PoliInformatics Lu Wang, Parvaz Mahdabi, Joonsuk Park, Dinesh Puranam, B. Yang, and Claire Cardie. 2014.
People on drugs: credibility of user statements in health communities Subhabrata Mukherjee, G. Weikum, and Cristian Danescu-Niculescu-Mizil. In KDD, 2014.
Learning Compact Lexicons for CCG Semantic Parsing Yoav Artzi, Dipanjan Das, and Slav Petrov. In EMNLP, 2014.
Brighter than Gold: Figurative Language in User Generated Comparisons Vlad Niculae and Cristian Danescu-Niculescu-Mizil. In EMNLP, 2014.
How to Ask for a Favor: A Case Study on the Success of Altruistic Requests Tim Althoff, Cristian Danescu-Niculescu-Mizil, and Dan Jurafsky. In ICWSM, 2014.
Deep Recursive Neural Networks for Compositionality in Language Ozan Irsoy and Claire Cardie. In NIPS, 2014.
Towards a General Rule for Identifying Deceptive Opinion Spam J. Li, Myle Ott, Claire Cardie, and E. Hovy. In ACL, 2014.
Timeline generation: tracking individuals on twitter J. Li and Claire Cardie. In WWW, 2014.
How Community Feedback Shapes User Behavior Justin Cheng, Cristian Danescu-Niculescu-Mizil, and J. Leskovec. In ICWSM, 2014.
SimCompass: Using Deep Learning Word Embeddings to Assess Cross-level Similarity Carmen Banea, D. Chen, R. Mihalcea, Claire Cardie, and J. Wiebe. In SemEval@COLING, 2014.
Opinion Mining with Deep Recurrent Neural Networks Ozan Irsoy and Claire Cardie. In EMNLP, 2014.
Improving on Recall Errors for Coreference Resolution B. Yang and Claire Cardie. 2014.
Location and Language Use in Social Media Context-based Natural Language Processing for Gis-based Vague Region Visualization Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly Finding Eyewitness Tweets during Crises Inducing Information Structures for Data- Cristian Danescu-Niculescu-Mizil, Jacob Eisenstein, and K. McKeown. 2014.
Care and Feeding of Topic Models Jordan L. Boyd-Graber, David Mimno, and D. Newman. In Handbook of Mixed Membership Models and Their Applications, 2014.
Context-dependent Semantic Parsing for Time Expressions Kenton Lee, Yoav Artzi, Jesse Dodge, and Luke Zettlemoyer. In Annual Meeting of the Association for Computational Linguistics, 2014.
Care and Feeding of Topic Models. Jordan L. Boyd-Graber, David Mimno, and David Newman. 2014.
12 Care and Feeding of Topic Models : Problems , Diagnostics , and Improvementes Jordan L. Boyd-Graber and David Mimno. 2014.
2013
Semantic Parsing with Combinatory Categorial Grammars Yoav Artzi, Nicholas FitzGerald, and Luke Zettlemoyer. In ACL, 2013.
Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions Yoav Artzi and Luke Zettlemoyer. In Transactions of the Association for Computational Linguistics, 2013.
TopicSpam: a Topic-Model based approach for spam detection J. Li, Claire Cardie, and Sujian Li. In ACL, 2013.
Joint Inference for Fine-grained Opinion Extraction B. Yang and Claire Cardie. In ACL, 2013.
A Model of Language Processing as Hierarchic Sequential Prediction Marten van Schijndel, A. Exley, and W. Schuler. In Top. Cogn. Sci., 2013.
Early Stage Influenza Detection from Twitter J. Li and Claire Cardie. In ArXiv, 2013.
Significant themes in 19th-century literature Matthew L. Jockers and David Mimno. 2013.
CornPittMich Sentiment Slot-Filling System at TAC 2013 Carmen Banea, R. Mihalcea, Yoonjung Choi, Lingjia Deng, J. Wiebe, Ozan Irsoy, Detian Shi, and Claire Cardie. In TAC, 2013.
Properties, Prediction, and Prevalence of Useful User-Generated Comments for Descriptive Annotation of Social Media Objects Elaheh Momeni, Claire Cardie, and Myle Ott. In ICWSM, 2013.
A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization Lu Wang, H. Raghavan, V. Castelli, Radu Florian, and Claire Cardie. In ACL, 2013.
Optimal Beam Search for Machine Translation Alexander M. Rush, Yin-Wen Chang, and M. Collins. In EMNLP, 2013.
A Measure of Polarization on Social Media Networks Based on Community Boundaries P. C. Guerra, W. Meira, Claire Cardie, and Robert D. Kleinberg. In ICWSM, 2013.
Learning Distributions over Logical Forms for Referring Expression Generation Nicholas FitzGerald, Yoav Artzi, and Luke Zettlemoyer. In EMNLP, 2013.
Scaling Semantic Parsers with On-the-Fly Ontology Matching T. Kwiatkowski, Eunsol Choi, Yoav Artzi, and Luke Zettlemoyer. In EMNLP, 2013.
Negative Deceptive Opinion Spam Myle Ott, Claire Cardie, and J. Hancock. In HLT-NAACL, 2013.
Domain-Independent Abstract Generation for Focused Meeting Summarization Lu Wang and Claire Cardie. In ACL, 2013.
Linguistic Models for Analyzing and Detecting Biased Language M. Recasens, Cristian Danescu-Niculescu-Mizil, and Dan Jurafsky. In ACL, 2013.
Spectral Learning of Refinement HMMs K. Stratos, Alexander M. Rush, Shay B. Cohen, and M. Collins. In CoNLL, 2013.
Incremental Semantic Dependency Parsing Marten van Schijndel and W. Schuler. 2013.
Identifying Manipulated Offerings on Review Portals J. Li, Myle Ott, and Claire Cardie. In EMNLP, 2013.
Cornell SPF: Cornell Semantic Parsing Framework Yoav Artzi. 2013.
An Analysis of Frequency- and Memory-Based Processing Costs Marten van Schijndel and W. Schuler. In HLT-NAACL, 2013.
Syntactic Probability Estimation using a Cognitively Motivated Grammar W. Schuler, Luân Nguyễn, Marten van Schijndel, and Evan Jaffe. 2013.
An Analysis of Memory-based Processing Costs using Incremental Deep Syntactic Dependency Parsing Marten van Schijndel, L. Nguyen, and W. Schuler. In CMCL, 2013.
A Practical Algorithm for Topic Modeling with Provable Guarantees Sanjeev Arora, R. Ge, Yoni Halpern, David Mimno, A. Moitra, D. Sontag, Yichen Wu, and M. Zhu. In ICML, 2013.
A computational approach to politeness with application to social factors Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, J. Leskovec, and Christopher Potts. In ACL, 2013.
Bidirectional Recursive Neural Networks for Token-Level Labeling with Structure Ozan Irsoy and Claire Cardie. In ArXiv, 2013.
A web application for filtering and annotating web speech data D. Lutz, Parry Cadwallader, and M. Rooth. 2013.
No country for old members: user lifecycle and linguistic change in online communities Cristian Danescu-Niculescu-Mizil, Robert West, Dan Jurafsky, J. Leskovec, and Christopher Potts. In WWW '13, 2013.
CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge Carmen Banea, Yoonjung Choi, Lingjia Deng, Samer Hassan, Michael Mohler, B. Yang, Claire Cardie, R. Mihalcea, and J. Wiebe. In *SEM@NAACL-HLT, 2013.
Characterizing and curating conversation threads: expansion, focus, volume, re-entry L. Backstrom, J. Kleinberg, Lillian Lee, and Cristian Danescu-Niculescu-Mizil. In WSDM '13, 2013.
5-1-2008 Facilitating Issue Categorization & Analysis in Rulemaking Thomas Bruce, Claire Cardie, Cynthia Farina, Stephen Purpura, Claire Cardie, Purpura, Stephen, and Thomas Bruce. 2013.
Timeline generation: tracking individuals on twitter Jiwei Li and Claire Cardie. In The Web Conference, 2013.
2012
Exploiting structure for sentiment classification Claire Cardie and Ainur Yessenalina. 2012.
Echoes of power: language effects and power differences in social interaction Cristian Danescu-Niculescu-Mizil, Lillian Lee, Bo Pang, and J. Kleinberg. In WWW, 2012.
You Had Me at Hello: How Phrasing Affects Memorability Cristian Danescu-Niculescu-Mizil, Justin Cheng, J. Kleinberg, and Lillian Lee. In ACL, 2012.
Accurate Unbounded Dependency Recovery using Generalized Categorial Grammars L. Nguyen, Marten van Schijndel, and W. Schuler. In COLING, 2012.
Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints Alexander M. Rush, Roi Reichart, M. Collins, and A. Globerson. In EMNLP-CoNLL, 2012.
In Search of a Gold Standard in Studies of Deception S. Gokhman, J. Hancock, Poornima Prabhu, Myle Ott, and Claire Cardie. 2012.
Focused Meeting Summarization via Unsupervised Relation Extraction Lu Wang and Claire Cardie. In SIGDIAL Conference, 2012.
Sparse stochastic inference for latent Dirichlet allocation David Mimno, M. Hoffman, and D. Blei. In ICML, 2012.
Unsupervised Topic Modeling Approaches to Decision Summarization in Spoken Meetings Lu Wang and Claire Cardie. In SIGDIAL Conference, 2012.
Computational historiography: Data mining in a century of classics journals David Mimno. In JOCCH, 2012.
Connectionist-Inspired Incremental PCFG Parsing Marten van Schijndel, A. Exley, and W. Schuler. In CMCL@NAACL-HLT, 2012.
Estimating the prevalence of deception in online review communities Myle Ott, Claire Cardie, and J. Hancock. In WWW, 2012.
Extracting Opinion Expressions with semi-Markov Conditional Random Fields B. Yang and Claire Cardie. In EMNLP-CoNLL, 2012.
Topic models for taxonomies A. Bakalov, A. McCallum, H. Wallach, and David Mimno. In JCDL '12, 2012.
Predicting Responses to Microblog Posts Yoav Artzi, P. Pantel, and M. Gamon. In HLT-NAACL, 2012.
A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing Alexander M. Rush and M. Collins. In J. Artif. Intell. Res., 2012.
Improving Implicit Discourse Relation Recognition Through Feature Set Optimization Joonsuk Park and Claire Cardie. In SIGDIAL Conference, 2012.
Vine Pruning for Efficient Multi-Pass Dependency Parsing Alexander M. Rush and Slav Petrov. In HLT-NAACL, 2012.
Facilitative moderation for online participation in eRulemaking Joonsuk Park, Sally Klingel, Claire Cardie, Mary J. Newhart, C. Farina, and J. Vallbé. In dg.o '12, 2012.
Prediction- and Recall-Defined Online Complexity Metrics Marten van Schijndel. 2012.
Hedge detection as a lens on framing in the GMO debates: A position paper Eunsol Choi, Chenhao Tan, Lillian Lee, Cristian Danescu-Niculescu-Mizil, and Jennifer Spindel. In ExProM@ACL, 2012.
A Computational Approach To Linguistic Coordination Cristian Danescu-Niculescu-Mizil. 2012.
Scalable Inference of Overlapping Communities Prem Gopalan, David Mimno, Sean Gerrish, M. Freedman, and D. Blei. In NIPS, 2012.
Hedge Detection as a Lens on Framing in the GMO Debates: A Position Paper Eunsol Choi, Chenhao Tan, Lillian Lee, Cristian Danescu-Niculescu-Mizil, and Jennifer Spindel. In ExProM@ACL, 2012.
A Practical Algorithm for Topic Modeling with Provable Guarantees Sanjeev Arora, Rong Ge, Yoni Halpern, David Mimno, Ankur Moitra, D. Sontag, Yichen Wu, and Michael Zhu. In International Conference on Machine Learning, 2012.
Estimating the prevalence of deception in online review communities Myle Ott, Claire Cardie, and Jeffrey T. Hancock. In The Web Conference, 2012.
2011
Finding Deceptive Opinion Spam by Any Stretch of the Imagination Myle Ott, Yejin Choi, Claire Cardie, and J. Hancock. In ACL, 2011.
Harvesting speech datasets for linguistic research on the web M. Rooth, J. Howell, and M. Wagner. 2011.
Reconstructing Pompeian Households David Mimno. In UAI, 2011.
Compositional Matrix-Space Models for Sentiment Analysis Ainur Yessenalina and Claire Cardie. In EMNLP, 2011.
Topic regression A. McCallum and David Mimno. 2011.
Efficient Lagrangian relaxation algorithms for exact inference in natural language tasks Alexander M. Rush. 2011.
Learning to Recover Meaning from Unannotated Conversational Interactions Yoav Artzi. 2011.
Acoustic classification of focus in a web corpus of comparatives J. Howell, M. Rooth, and M. Wagner. 2011.
Optimizing Semantic Coherence in Topic Models David Mimno, H. Wallach, E. Talley, Miriam Leenders, and A. McCallum. In EMNLP, 2011.
A recursive phonology interface for WH-F alternative semantics M. Rooth and H. Dong. 2011.
Bootstrapping Semantic Parsers from Conversations Yoav Artzi and Luke Zettlemoyer. In EMNLP, 2011.
Chameleons in Imagined Conversations: A New Approach to Understanding Coordination of Linguistic Style in Dialogs Cristian Danescu-Niculescu-Mizil and Lillian Lee. In CMCL@ACL, 2011.
Bayesian Checking for Topic Models David Mimno and D. Blei. In EMNLP, 2011.
Dual Decomposition for Natural Language Processing M. Collins and Alexander M. Rush. In ACL, 2011.
Joint Bilingual Sentiment Classification with Unlabeled Parallel Corpora Bin Lu, Chenhao Tan, Claire Cardie, and Benjamin Ka-Yin T'sou. In ACL, 2011.
Multi-aspect Sentiment Analysis with Topic Models Bin Lu, Myle Ott, Claire Cardie, and Benjamin Ka-Yin T'sou. In 2011 IEEE 11th International Conference on Data Mining Workshops, 2011.
User-level sentiment analysis incorporating social networks Chenhao Tan, Lillian Lee, J. Tang, L. Jiang, M. Zhou, and P. Li. In KDD, 2011.
Automatically Creating General-Purpose Opinion Summaries from Text Veselin Stoyanov and Claire Cardie. In RANLP, 2011.
Towards Dynamic Variorum Editions Bridget Almas, Alison Babeu, David Bamman, F. Boschetti, Lisa Cerrato, G. Crane, B. Fuchs, David Mimno, Bruce Roberston, and D. Smith. 2011.
Mark my words!: linguistic style accommodation in social media Cristian Danescu-Niculescu-Mizil, M. Gamon, and S. Dumais. In WWW, 2011.
Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation Alexander M. Rush and M. Collins. In ACL, 2011.
Reconciling OntoNotes: Unrestricted Coreference Resolution in OntoNotes with Reconcile Veselin Stoyanov, Uday Babbar, Pracheer Gupta, and Claire Cardie. In CoNLL Shared Task, 2011.
Mark my words!: linguistic style accommodation in social media Cristian Danescu-Niculescu-Mizil, Michael Gamon, and S. Dumais. In The Web Conference, 2011.
Database of NIH grants using machine-learned categories and graphical clustering Edmund M. Talley, David Newman, David Mimno, David Mimno, Bruce W. Herr, Hanna M. Wallach, Gully A. P. C. Burns, A. G. M. Leenders, and Andrew McCallum. In Nature Methods, 2011.
Database of NIH grants using machine-learned categories and graphical clustering Edmund M. Talley, David Newman, David Mimno, David Mimno, Bruce W. Herr, Hanna M. Wallach, Gully A. P. C. Burns, A. G. M. Leenders, and Andrew McCallum. In Nature Methods, 2011.
2010
Multi-Level Structured Models for Document-Level Sentiment Classification Ainur Yessenalina, Yisong Yue, and Claire Cardie. In EMNLP, 2010.
PageRank without hyperlinks: Structural reranking using links induced by language models Oren Kurland and Lillian Lee. In ACM Trans. Inf. Syst., 2010.
Rulemaking in 140 Characters or Less: Social Networking and Public Participation in Rulemaking C. Farina, Mary J. Newhart, P. Miller, Claire Cardie, Dan Cosley, and R. Vernon. 2010.
Rulemaking 2.0 C. Farina, Mary J. Newhart, Claire Cardie, and Dan Cosley. 2010.
For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia Mark Yatskar, Bo Pang, Cristian Danescu-Niculescu-Mizil, and Lillian Lee. In HLT-NAACL, 2010.
Hierarchical Sequential Learning for Extracting Opinions and Their Attributes Yejin Choi and Claire Cardie. In ACL, 2010.
Coreference Resolution with Reconcile Veselin Stoyanov, Claire Cardie, Nathan Gilbert, E. Riloff, David J. Buttler, and D. Hysom. In ACL, 2010.
Automatically Generating Annotator Rationales to Improve Sentiment Classification Ainur Yessenalina, Yejin Choi, and Claire Cardie. In ACL, 2010.
On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing Alexander M. Rush, D. Sontag, M. Collins, and T. Jaakkola. In EMNLP, 2010.
Dual Decomposition for Parsing with Non-Projective Head Automata T. Koo, Alexander M. Rush, M. Collins, T. Jaakkola, and D. Sontag. In EMNLP, 2010.
Fine-grained opinion analysis: structure-aware approaches Claire Cardie and Yejin Choi. 2010.
Reconcile: A Coreference Resolution Research Platform Veselin Stoyanov, Claire Cardie, Nathan Gilbert, E. Riloff, David J. Buttler, and D. Hysom. 2010.
Outside the machine learning blackbox: supporting analysts before and after the learning algorithm R. Caruana, Claire Cardie, and M. A. Munson. 2010.
Don't 'Have a Clue'? Unsupervised Co-Learning of Downward-Entailing Operators Cristian Danescu-Niculescu-Mizil and Lillian Lee. In ACL, 2010.
Competing for users' attention: on the interplay between organic and sponsored search results Cristian Danescu-Niculescu-Mizil, A. Broder, Evgeniy Gabrilovich, V. Josifovski, and Bo Pang. In WWW '10, 2010.
For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia Mark Yatskar, B. Pang, Cristian Danescu-Niculescu-Mizil, and Lillian Lee. In North American Chapter of the Association for Computational Linguistics, 2010.
PageRank without hyperlinks: Structural reranking using links induced by language models Oren Kurland and Lillian Lee. In TOIS, 2010.
Rulemaking 2.0 Cynthia Farina, Mary J. Newhart, Claire Cardie, and D. Cosley. 2010.
2009
Web Harvest of Minimal Intonational Pairs J. Howell and M. Rooth. 2009.
Adapting a Polarity Lexicon using Integer Linear Programming for Domain-Specific Sentiment Classification Yejin Choi and Claire Cardie. In EMNLP, 2009.
How opinions are received by online communities: a case study on amazon.com helpfulness votes Cristian Danescu-Niculescu-Mizil, Gueorgi Kossinets, J. Kleinberg, and Lillian Lee. In WWW '09, 2009.
Induction of fine-grained lexical parameters of treebank pcfgs with inside-outside estimation and lexical transformations M. Rooth and Tejaswini Deoskar. 2009.
Conundrums in Noun Phrase Coreference Resolution: Making Sense of the State-of-the-Art Veselin Stoyanov, Nathan Gilbert, Claire Cardie, and E. Riloff. In ACL/IJCNLP, 2009.
Efficient methods for topic model inference on streaming document collections Limin Yao, David Mimno, and A. McCallum. In KDD, 2009.
Rethinking LDA: Why Priors Matter H. Wallach, David Mimno, and A. McCallum. In NIPS, 2009.
Clusters, language models, and ad hoc information retrieval Oren Kurland and Lillian Lee. In TOIS, 2009.
Without a "doubt"? Unsupervised Discovery of Downward-Entailing Operators Cristian Danescu-Niculescu-Mizil, L. Lee, and Richard Ducott. In HLT-NAACL, 2009.
Polylingual Topic Models David Mimno, H. Wallach, Jason Naradowsky, D. Smith, and A. McCallum. In EMNLP, 2009.
Second Occurrence Focus and Relativized Stress F M. Rooth. 2009.
A Corpus Search Methodology for Focus Realization J. Howell and M. Rooth. 2009.
Evaluation methods for topic models H. Wallach, Iain Murray, R. Salakhutdinov, and David Mimno. In ICML '09, 2009.
Smoothing fine-grained PCFG lexicons Tejaswini Deoskar, M. Rooth, and K. Sima'an. In IWPT, 2009.
Opinion summarization: automatically creating useful representations of the opinions expressed in text Claire Cardie and Veselin Stoyanov. 2009.
Classics in the Million Book Library G. Crane, Alison Babeu, David Bamman, T. Breuel, Lisa Cerrato, D. Deckers, Anke Lüdeling, David Mimno, R. Singhal, D. Smith, and Amir Zeldes. In Digit. Humanit. Q., 2009.
Rethinking LDA: Why Priors Matter Hanna M. Wallach, David Mimno, and A. McCallum. In Neural Information Processing Systems, 2009.
Evaluation methods for topic models Hanna M. Wallach, Iain Murray, R. Salakhutdinov, and David Mimno. In International Conference on Machine Learning, 2009.
Presenter : HMW Category : graphical models Preference : Oral Polylingual Topic Models David Mimno, Hanna M. Wallach, Jason Naradowsky, David A. Smith, and A. McCallum. 2009.
2008
Comments on Enlightened Update D. Abusch and M. Rooth. 2008.
Notions of Focus Anaphoricity M. Rooth. 2008.
Topic Identification for Fine-Grained Opinion Analysis Veselin Stoyanov and Claire Cardie. In COLING, 2008.
Induction of Treebank-Aligned Lexical Resources Tejaswini Deoskar and M. Rooth. In LREC, 2008.
Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression David Mimno and A. McCallum. In UAI, 2008.
Facilitating Issue Categorization & Analysis in Rulemaking T. Bruce, Claire Cardie, C. Farina, and S. Purpura. 2008.
The Power of Negative Thinking: Exploiting Label Disagreement in the Min-cut Classification Framework Mohit Bansal, Claire Cardie, and Lillian Lee. In COLING, 2008.
A study in rule-specific issue categorization for e-rulemaking Claire Cardie, C. Farina, Adil Aijaz, Matt Rawding, and S. Purpura. In DG.O, 2008.
Empirical methods for fine-grained opinion extraction from text Claire Cardie and Eric Breck. 2008.
Active learning for e-rulemaking: public comment categorization S. Purpura, Claire Cardie, and J. Simons. In DG.O, 2008.
InterNano: e-Science for the Nanomanufacturing Community Rebecca Reznik-Zellen, B. Stevens, M. Thorn, J. Morse, M. Smucker, J. Allan, David Mimno, A. McCallum, and M. Tuominen. In 2008 IEEE Fourth International Conference on eScience, 2008.
Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis Yejin Choi and Claire Cardie. In EMNLP, 2008.
Using Very Simple Statistics for Review Search: An Exploration B. Pang and Lillian Lee. In COLING, 2008.
Annotating Topics of Opinions Veselin Stoyanov and Claire Cardie. In LREC, 2008.
e-Science for the Nanomanufacturing Community Rebecca Reznik-Zellen, B. Stevens, M. Thorn, J. Morse, M. Smucker, James Allan, David Mimno, A. McCallum, and M. Tuominen. 2008.
An eRulemaking Corpus: Identifying Substantive Issues in Public Comments Claire Cardie, C. Farina, Matt Rawding, and Adil Aijaz. In LREC, 2008.
A New Start: Innovative Introductory AI-Centered Courses at Cornell Eric Breck, David A. Easley, K. D. Fan, J. Kleinberg, Lillian Lee, J. Wofford, and R. Zabih. In AAAI Spring Symposium: Using AI to Motivate Greater Participation in Computer Science, 2008.
Text Annotation for Political Science Research Claire Cardie and J. Wilkerson. 2008.
Generalized Conjunction and Type Ambiguity B. Partee and M. Rooth. 2008.
A study in rule-specific issue categorization for e-rulemaking Claire Cardie, Cynthia Farina, Adil Aijaz, Matt Rawding, and S. Purpura. In Digital Government Research, 2008.
An eRulemaking Corpus: Identifying Substantive Issues in Public Comments Claire Cardie, Cynthia Farina, Matt Rawding, and Adil Aijaz. In International Conference on Language Resources and Evaluation, 2008.
An eRulemaking Corpus: Identifying Substantive Issues in Public Comments Claire Cardie, Cynthia Farina, Matt Rawding, and Adil Aijaz. In International Conference on Language Resources and Evaluation, 2008.
Text Annotation for Political Science Research Claire Cardie and J. Wilkerson. 2008.
2007
Organizing the OCA: learning faceted subjects from a library of digital books David Mimno and A. McCallum. In JCDL '07, 2007.
Improving End-User Efficiency Using the Smart / Empire IR System Chris Buckley, Claire Cardie, Scott Mardis, M. Mitra, David Pierce, K. Wagstaff, J. Walz, and S. Research. 2007.
Mining a digital library for influential authors David Mimno and A. McCallum. In JCDL '07, 2007.
RECONCILE: a machine-learning coreference resolution system Claire Cardie, Veselin Stoyanov, D. Golland, Nathan Gilbert, E. Riloff, D. Butler, and D. Hysom. 2007.
Structured Local Training and Biased Potential Functions for Conditional Random Fields with Application to Coreference Resolution Yejin Choi and Claire Cardie. In HLT-NAACL, 2007.
Cornell System Description for the NTCIR-6 Opinion Task Eric Breck, Yejin Choi, Veselin Stoyanov, and Claire Cardie. In NTCIR, 2007.
Probabilistic Representations for Integrating Unreliable Data Sources David Mimno, A. McCallum, and Gerome Miklau. 2007.
Mixtures of hierarchical topics with Pachinko allocation David Mimno, Wei Li, and A. McCallum. In ICML '07, 2007.
Opinion Mining and Sentiment Analysis Bo Pang and Lillian Lee. In Found. Trends Inf. Retr., 2007.
Expertise modeling for matching papers with reviewers David Mimno and A. McCallum. In KDD '07, 2007.
Identifying Expressions of Opinion in Context Eric Breck, Yejin Choi, and Claire Cardie. In IJCAI, 2007.
IDF revisited: a simple new derivation within the Robertson-Spärck Jones probabilistic model Lillian Lee. In SIGIR, 2007.
Feature Selection for Case-Based Learning : A Cognitive Bias Approach Claire Cardie. 2007.
Expertise modeling for matching papers with reviewers David Mimno and Andrew McCallum. In Knowledge Discovery and Data Mining, 2007.
2006
Inter-document similarities, language models, and ad hoc information retrieval Lillian Lee and Oren Kurland. 2006.
Toward Opinion Summarization: Linking the Sources Veselin Stoyanov and Claire Cardie. 2006.
Evaluating an Opinion Annotation Scheme Using a New Multi-Perspective Question and Answer Corpus Veselin Stoyanov, Claire Cardie, D. Litman, and J. Wiebe. In Computing Attitude and Affect in Text, 2006.
Better Inputs for Better Outcomes: Using the Interface to Improve e-Rulemaking C. Farina, Claire Cardie, T. Bruce, and E. Wagner. 2006.
Get out the vote: Determining support or opposition from Congressional floor-debate transcripts M. Thomas, B. Pang, and Lillian Lee. In EMNLP, 2006.
Using natural language processing to improve eRulemaking: project highlight Claire Cardie, C. Farina, and T. Bruce. In DG.O, 2006.
Respect my authority!: HITS without hyperlinks, utilizing cluster-based language models Oren Kurland and Lillian Lee. In SIGIR '06, 2006.
Beyond Digital Incunabula: Modeling the Next Generation of Digital Libraries G. Crane, David Bamman, Lisa Cerrato, A. Jones, David Mimno, A. Packel, D. Sculley, and G. Weaver. In ECDL, 2006.
Induction of Probabilistic Synchronous Tree-Insertion Grammars for Machine Translation R. Nesson, Alexander M. Rush, and S. Shieber. 2006.
Corpus Induction of Lexicons for Treebank PCFGs by Inside-Outside Estimation and Frequency Transformations Tejaswini Deoskar and M. Rooth. 2006.
Joint Extraction of Entities and Relations for Opinion Recognition Yejin Choi, Eric Breck, and Claire Cardie. In EMNLP, 2006.
Partially Supervised Coreference Resolution for Opinion Summarization through Structured Rule Learning Veselin Stoyanov and Claire Cardie. In EMNLP, 2006.
Induction of Probabilistic Synchronous Tree-Insertion Grammars for Machine Translation R. Nesson, Alexander M. Rush, and S. Shieber. In AMTA, 2006.
Get out the vote: Determining support or opposition from Congressional floor-debate transcripts Matt Thomas, B. Pang, and Lillian Lee. In Conference on Empirical Methods in Natural Language Processing, 2006.
Induction of Probabilistic Synchronous Tree-Insertion Grammars for Machine Translation R. Nesson, Alexander M. Rush, and Stuart M. Shieber. In Conference of the Association for Machine Translation in the Americas, 2006.
2005
Optimizing to Arbitrary NLP Metrics using Ensemble Selection A. Munson, Claire Cardie, and R. Caruana. In HLT/EMNLP, 2005.
A Matter of Opinion: Sentiment Analysis and Business Intelligence (position paper) Lillian Lee. In ArXiv, 2005.
OpinionFinder: A System for Subjectivity Analysis T. Wilson, P. Hoffmann, Swapna Somasundaran, J. Kessler, J. Wiebe, Yejin Choi, Claire Cardie, E. Riloff, and Siddharth Patwardhan. In HLT/EMNLP, 2005.
Machine learning for natural language processing (and vice versa Claire Cardie. 2005.
Finding a catalog: generating analytical catalog records from well-structured digital texts David Mimno, A. Jones, and G. Crane. In Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05), 2005.
PageRank without hyperlinks: structural re-ranking using links induced by language models Oren Kurland and Lillian Lee. In SIGIR '05, 2005.
Annotating Expressions of Opinions and Emotions in Language J. Wiebe, T. Wilson, and Claire Cardie. In Lang. Resour. Evaluation, 2005.
Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns Yejin Choi, Claire Cardie, E. Riloff, and Siddharth Patwardhan. In HLT/EMNLP, 2005.
Better than the real thing?: iterative pseudo-query processing using cluster-based language models Oren Kurland, Lillian Lee, and C. Domshlak. In SIGIR '05, 2005.
Hierarchical Catalog Records: Implementing a FRBR Catalog David Mimno, G. Crane, and A. Jones. In D Lib Mag., 2005.
Chapter # Low-Level Annotations and Summary Representations of Opinions for Multi-Perspective Question Answering Claire Cardie, J. Wiebe, T. Wilson, and D. Litman. 2005.
Multi-Perspective Question Answering Using the OpQA Corpus Veselin Stoyanov, Claire Cardie, and J. Wiebe. In HLT/EMNLP, 2005.
Machine Learning for Natural Language Processing (and Vice Versa?) Claire Cardie. In PKDD, 2005.
Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales B. Pang and Lillian Lee. In ACL, 2005.
Induction of Probabilistic Synchronous Tree-Insertion Grammars R. Nesson, S. Shieber, and Alexander M. Rush. 2005.
MUC-3 Test Results and Analysi s W. Lehnert, Claire Cardie, David Fisher, E. Riloff, and Robert Williams. 2005.
2004
Playing the Telephone Game: Determining the Hierarchical Structure of Perspective and Speech Expressions Eric Breck and Claire Cardie. In COLING, 2004.
Corpus structure, language models, and ad hoc information retrieval Oren Kurland and Lillian Lee. In SIGIR '04, 2004.
Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization R. Barzilay and Lillian Lee. In HLT-NAACL, 2004.
Services for a customizable authority linking environment M. S. Patton and David Mimno. In JCDL, 2004.
Low-Level Annotations and Summary Representations of Opinions for Multiperspective QA Claire Cardie, J. Wiebe, T. Wilson, and D. Litman. In New Directions in Question Answering, 2004.
Topic Accents on Quantifiers M. Rooth. 2004.
A Cognitive Bias Approach to Feature Selection and Weighting for Case-Based Learners Claire Cardie. In Machine Learning, 2004.
Guest Editors' Introduction: Machine Learning and Natural Language Claire Cardie and R. Mooney. In Machine Learning, 2004.
A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts B. Pang and Lillian Lee. In ACL, 2004.
Similarity-Based Models of Word Cooccurrence Probabilities I. Dagan, Lillian Lee, and Fernando C Pereira. In Machine Learning, 2004.
Improving machine learning approaches to noun phrase coreference resolution Claire Cardie and Yu-Chung Ng. 2004.
Services for a customizable authority linking environment M. Patton and David Mimno. In Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004., 2004.
2003
Bootstrapping Coreference Classifiers with Multiple Machine Learning Algorithms Vincent Ng and Claire Cardie. In EMNLP, 2003.
Cost-effective machine learning strategies for shallow parsing Claire Cardie and D. Pierce. 2003.
Mostly-unsupervised statistical segmentation of Japanese kanji sequences R. Ando and Lillian Lee. In Nat. Lang. Eng., 2003.
Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment R. Barzilay and Lillian Lee. In HLT-NAACL, 2003.
Weakly Supervised Natural Language Learning Without Redundant Views Vincent Ng and Claire Cardie. In HLT-NAACL, 2003.
Recognizing and Organizing Opinions Expressed in the World Press J. Wiebe, Eric Breck, Chris Buckley, Claire Cardie, P. Davis, Bruce Fraser, D. Litman, D. Pierce, E. Riloff, T. Wilson, D. Day, and M. Maybury. In New Directions in Question Answering, 2003.
Combining Low-Level and Summary Representations of Opinions for Multi-Perspective Question Answering Claire Cardie, J. Wiebe, T. Wilson, and D. Litman. In New Directions in Question Answering, 2003.
"I'm sorry Dave, I'm afraid I can't do that": Linguistics, Statistics and Natural Language Processing circa 2001 Lillian Lee. In ArXiv, 2003.
2002
A non-programming introduction to computer science via NLP,IR,and AI Lillian Lee. In ACL 2002, 2002.
Thumbs up? Sentiment Classification using Machine Learning Techniques B. Pang, Lillian Lee, and Shivakumar Vaithyanathan. In EMNLP, 2002.
Detecting discrepancies in numeric estimates using multidocument hypertext summaries M. White, Claire Cardie, and Vincent Ng. 2002.
Combining Sample Selection and Error-Driven Pruning for Machine Learning of Coreference Rules Vincent Ng and Claire Cardie. In EMNLP, 2002.
Fast context-free grammar parsing requires fast boolean matrix multiplication Lillian Lee. In JACM, 2002.
Intelligent clustering with instance-level constraints K. Wagstaff and Claire Cardie. 2002.
NRRC Summer Workshop on Multiple-Perspective Question Answering Final Report Chris Buckley, Claire Cardie, P. Davis, Bruce Fraser, D. Litman, D. Pierce, E. Rilo, and T. Wilson. 2002.
Bootstrapping Lexical Choice via Multiple-Sequence Alignment R. Barzilay and Lillian Lee. In EMNLP, 2002.
Identifying Anaphoric and Non-Anaphoric Noun Phrases to Improve Coreference Resolution Vincent Ng and Claire Cardie. In COLING, 2002.
Selecting sentences for multidocument summaries using randomized local search Michael White and Claire Cardie. In ACL 2002, 2002.
Intelligent Clustering with Instance-Level Constraints K. Wagstaff and Claire Cardie. 2002.
Error-Driven Pruning of Treebank Grammars for Base Noun Phrase Identification Claire Cardie and D. Pierce. In International Conference on Computational Linguistics, 2002.
2001
Óò×øöööòòò Ã¹ñññò× Ðù×øøööòò Ûûøø Öóùòò Ãòóûððððð K. Wagsta, Claire Cardie, S. Rogers, and rogers rtna.daimler. 2001.
Constrained K-means Clustering with Background Knowledge K. Wagstaff, Claire Cardie, S. Rogers, and S. Schrödl. In ICML, 2001.
Looking Under the Hood : Tools for Diagnosing your Question Answering Engine Eric Breck, M. Light, Gideon S. Mann, E. Riloff, Brianne Brown, P. Anand, M. Rooth, and M. Thelen. In ACL 2001, 2001.
User-Oriented Machine Learning Strategies for Information Extraction: Putting the Human Back in the Loop D. Pierce and Claire Cardie. 2001.
Parse Forest Computation of Expected Governors Helmut Schmid and M. Rooth. In ACL, 2001.
Limitations of Co-Training for Natural Language Learning from Large Datasets D. Pierce and Claire Cardie. In EMNLP, 2001.
On the effectiveness of the skew divergence for statistical language analysis Lillian Lee. In AISTATS, 2001.
Multidocument Summarization via Information Extraction Michael White, Tanya Korelsky, Claire Cardie, Vincent Ng, D. Pierce, and K. Wagstaff. In HLT, 2001.
Detecting Discrepancies and Improving Intelligibility : Two Preliminary Evaluations of RIPTIDES M. White, Claire Cardie, Vincent Ng, K. Wagstaff, and D. McCullough. 2001.
Statistical Grammar Models and Lexicon Acquisition 12.1 Introduction S. Schulte, Helmut Schmid, M. Rooth, S. Riezler, D. Prescher, C. Rohrer, and Antje Roÿdeutscher. 2001.
Iterative Residual Rescaling: An Analysis and Generalization of LSI R. Ando and Lillian Lee. In SIGIR 2002, 2001.
Statistical Grammar Models and Lexicon Acquisition 12.1 Introduction S. Schulte, Helmut Schmid, Mats Rooth, S. Riezler, D. Prescher, C. Rohrer, and Antje Roÿdeutscher. 2001.
2000
Using a Probabilistic Class-Based Lexicon for Lexical Ambiguity Resolution D. Prescher, S. Riezler, and M. Rooth. In COLING, 2000.
Partial parsing for linguistic relationship identification Claire Cardie and Scott Mardis. 2000.
Fun with Reading Comprehension Pranav Anand Harvard, Eric Breck, M. Light, Gideon S. Mann, E. Rilo, M. Rooth, and M. Thelen. 2000.
Examining the Role of Statistical and Linguistic Knowledge Sources in a General-Knowledge Question-Answering System Claire Cardie, Vincent Ng, D. Pierce, and Chris Buckley. In ANLP, 2000.
Towards Translingual Information Access using Portable Information Extraction Michael White, Claire Cardie, Chunghye Han, Nari Kim, B. Lavoie, Martha Palmer, Owen Rambow, and Juntae Yoon. 2000.
Mostly-Unsupervised Statistical Segmentation of Japanese: Applications to Kanji R. Ando and Lillian Lee. In ANLP, 2000.
Clustering with Instance-Level Constraints K. Wagstaff and Claire Cardie. In AAAI/IAAI, 2000.
Ðù×øøööòò Ûûøø Áò×øøò Blockin Blockin¹ððúð Óò×øöööòø× Kiri Wagsta and Claire Cardie. 2000.
Clustering with Instance-Level Constraints K. Wagstaff and Claire Cardie. In AAAI/IAAI, 2000.
1999
Combining Error-Driven Pruning and Classification for Partial Parsing Claire Cardie, Scott Mardis, and D. Pierce. In ICML, 1999.
GIVENNESS, AVOIDF AND OTHER CONSTRAINTS ON THE PLACEMENT OF ACCENT* M. Bittner, Daniel Büring, K. Fintel, J. Grimshaw, I. Kohlhof, B. Ladusaw, A. Prince, R. Raffelsiefen, M. Rooth, L. Selkirk, and U. Sauerland. 1999.
ognit ively to Claire Cardie and W. Lehnert. 1999.
Measures of Distributional Similarity Lillian Lee. In ACL, 1999.
Inducing a Semantically Annotated Lexicon via EM-Based Clustering M. Rooth, S. Riezler, and D. Prescher. In ACL, 1999.
Learning to iguate Claire Cardie. 1999.
Weighting Unusual Feature Types N. Howe and Claire Cardie. 1999.
High-precision information retrieval Claire Cardie and M. Mitra. 1999.
Noun Phrase Coreference as Clustering Claire Cardie and K. Wagstaff. In EMNLP, 1999.
Unsupervised Statistical Segmentation of Japanese Kanji Strings R. Ando and Lillian Lee. 1999.
Aeóùò Èèöö×× Óööööööò × Ðù×øøööòò Ðððöö Öööö Òò Ããöö Ï×øø« Claire Cardie. 1999.
Inside-Outside Estimation of a Lexicalized PCFG for German Franz Beil, G. Carroll, D. Prescher, S. Riezler, and M. Rooth. In ACL, 1999.
The Role of Lexicalization and Pruning for Base Noun Phrase Grammars Claire Cardie and D. Pierce. In AAAI/IAAI, 1999.
Distributional Similarity Models: Clustering vs. Nearest Neighbors Lillian Lee. In ACL, 1999.
R ep or t T R 99-1 75 6 Unsupervised Statistical Segmentation of Japanese Kanji Strings R. Ando and Lillian Lee. 1999.
Integrating case-based learning and cognitive biases for machine learning of natural language Claire Cardie. In J. Exp. Theor. Artif. Intell., 1999.
1998
The Smart/Empire TIPSTER IR System Chris Buckley, J. Walz, Claire Cardie, Scott Mardis, M. Mitra, D. Pierce, and K. Wagstaff. In TIPSTER, 1998.
Valence Induction with a Head-Lexicalized PCFG G. Carroll and M. Rooth. In EMNLP, 1998.
Cognitive Patterns: Problem-Solving Frameworks for Object Technology K. Gardner, Alexander M. Rush, Michael K. Crist, Robert Konitzer, and B. Teegarden. 1998.
Error-Driven Pruning of Treebank Grammars for Base Noun Phrase Identification Claire Cardie and D. Pierce. In COLING-ACL, 1998.
Proposal for an Interactive Environment for Information Extraction Claire Cardie and D. Pierce. 1998.
SMART High Precision: TREC 7 Chris Buckley, M. Mitra, J. Walz, and Claire Cardie. In TREC, 1998.
1997
An Analysis of Statistical and Syntactic Phrases M. Mitra, Chris Buckley, Amit Singhal, and Claire Cardie. In RIAO, 1997.
Proposal for A Framework for the High-Precision Identification of Linguistic Relationships Claire Cardie and Scott Mardis. 1997.
SPARKLE Work Package 3: Phrasal Parsing Software. Deliverable D3.2 J. Carroll, T. Briscoe, G. Carroll, M. Light, D. Prescher, M. Rooth, S. Federici, S. Montemagni, Vito Pirrelli, I. Prodanof, and M. Vannocchi. 1997.
SPARKLE Work Package 1: Specification of Phrasal Parsing. Final Report J. Carroll, T. Briscoe, N. Calzolari, S. Federici, S. Montemagni, Vito Pirrelli, G. Grefenstette, A. Sanfilippo, G. Carroll, and M. Rooth. 1997.
Fast Context-Free Parsing Requires Fast Boolean Matrix Multiplication Lillian Lee. In ACL, 1997.
Phrasal Parser software - Deliverable 3.1 T. Briscoe, J. Carroll, Glenn Carroll, S. Federici, G. Grefenstette, S. Montemagni, Vito Pirrelli, I. Prodanof, M. Rooth, and M. Vannocchi. 1997.
Empirical Methods in Information Extraction Claire Cardie. In AI Mag., 1997.
Specification of Lexicon Structure S. Montemagni, Vito Pirrelli, N. Calzolari, A. Sanfilippo, T. Briscoe, J. Carroll, G. Carroll, M. Rooth, and Greg Grafenstette. 1997.
Using clustering and SuperConcepts within SMART: TREC 6 Chris Buckley, M. Mitra, J. Walz, and Claire Cardie. In Inf. Process. Manag., 1997.
Similarity-Based Approaches to Natural Language Processing Lillian Lee. In ArXiv, 1997.
Similarity-Based Methods for Word Sense Disambiguation I. Dagan, Lillian Lee, and Fernando C Pereira. In ACL, 1997.
Fast context-free parsing requires fast Boolean matrix multiplication Lillian Lee. 1997.
Improving Minority Class Prediction Using Case-Specific Feature Weights Claire Cardie and Nicholas Nowe. In ICML, 1997.
Examining Locally Varying Weights for Nearest Neighbor Algorithms N. Howe and Claire Cardie. In ICCBR, 1997.
Epistemic NP Modifiers D. Abusch and M. Rooth. In ArXiv, 1997.
1996
On the Interface Principles for Intonational Focus M. Rooth. 1996.
Learning of Context-Free Languages: A Survey of the Literature Lillian Lee. 1996.
Automating Feature Set Selection for Case-Based Learning of Linguistic Knowledge Claire Cardie. In EMNLP, 1996.
1995
Embedded machine learning systems for natural language processing: a general framework Claire Cardie. In Learning for Natural Language Processing, 1995.
Domain-specific knowledge acquisition for conceptual sentence analysis Claire Cardie. 1995.
Two-dimensional clusters in grammatical relations M. Rooth. 1995.
Indeenites, Adverbs of Quantiication and Focus Semantics Mats Rooth 1 Introduction M. Rooth. 1995.
1994
Evaluating an Information Extraction System W. Lehnert, Claire Cardie, D. Fisher, J. McCarthy, E. Riloff, and S. Soderland. 1994.
Similarity-Based Estimation of Word Cooccurrence Probabilities I. Dagan, Fernando C Pereira, and Lillian Lee. In ACL, 1994.
Similarity-Based Estimation of Word Cooccurrence Probabilities Ido Dagan, Fernando C Pereira, and Lillian Lee. In Annual Meeting of the Association for Computational Linguistics, 1994.
1993
Using Decision Trees to Improve Case-Based Learning Claire Cardie. In ICML, 1993.
Distributional Clustering of English Words Fernando C Pereira, Naftali Tishby, and Lillian Lee. In ACL, 1993.
Structural Ambiguity and Lexical Relations D. Hindle and M. Rooth. In CL, 1993.
A Case-Based Approach to Knowledge Acquisition for Domain-Specific Sentence Analysis Claire Cardie. In AAAI, 1993.
UMASS/HUGHES: Description Of The Circus System Used For Tipster Text W. Lehnert, J. McCarthy, S. Soderland, E. Riloff, Claire Cardie, J. Peterson, and Fangfang Feng. In TIPSTER, 1993.
UMass/Hughes: description of the CIRCUS system used for MUC-5 W. Lehnert, J. McCarthy, S. Soderland, E. Riloff, Claire Cardie, J. Peterson, Fangfang Feng, C. Dolan, and S. Goldman. In MUC, 1993.
Structural Ambiguity and Lexical Relations Donald Hindle and Mats Rooth. In CL, 1993.
1992
University of Massachusetts: MUC-4 test results and analysis W. Lehnert, Claire Cardie, D. Fisher, J. McCarthy, E. Riloff, and S. Soderland. In MUC, 1992.
Using Cognitive Biases to Guide Feature Set Selection Claire Cardie. 1992.
Corpus-Based Acquisition of Relative Pronoun Disambiguation Heuristics Claire Cardie. In ACL, 1992.
Learning to Disambiguate Relative Pronouns Claire Cardie. In AAAI, 1992.
University of Massachusetts: description of the CIRCUS system as used for MUC-4 W. Lehnert, Claire Cardie, D. Fisher, J. McCarthy, E. Riloff, and S. Soderland. In MUC, 1992.
Ellipsis redundancy and reduction redundancy M. Rooth. 1992.
A theory of focus interpretation M. Rooth. 1992.
University of Massachusetts: MUC-4 Test Results and Analysis W. Lehnert, Claire Cardie, David Fisher, J. McCarthy, E. Riloff, and S. Soderland. In Message Understanding Conference, 1992.
1991
Structural Ambiguity and Lexical Relations D. Hindle and M. Rooth. In ACL, 1991.
University of Massachusetts: description of the CIRCUS system as used for MUC-3 W. Lehnert, Claire Cardie, D. Fisher, E. Riloff, and Robert Williams. In MUC, 1991.
A Cognitively Plausible Approach to Understanding Complex Syntax Claire Cardie and W. Lehnert. In AAAI, 1991.
University of Massachusetts: MUC-3 test results and analysis W. Lehnert, Claire Cardie, D. Fisher, E. Riloff, and Robert Williams. In MUC, 1991.
The CIRCUS System as Used in MUC-3 W. Lehnert, Robert Williams, Claire Cardie, E. Riloff, and D. Fisher. 1991.
University of Massachusetts: Description of the CIRCUS System as Used for MUC-3 W. Lehnert, Claire Cardie, David Fisher, E. Riloff, and Robert Williams. In Message Understanding Conference, 1991.
1990
Temporal Adverbs and the English Perfect D. Abusch and M. Rooth. 1990.
Structural Ambiguity and Lexical Relations D. Hindle and M. Rooth. In Comput. Linguistics, 1990.
Structural Ambiguity and Lexical Relations Donald Hindle and Mats Rooth. In Human Language Technology - The Baltic Perspectiv, 1990.
1987
Noun Phrase Interpretation in Montague Grammar, File Change Semantics, and Situation Semantics M. Rooth. 1987.
1985
Association Focus M. Rooth. 1985.
ASSOCIATION WITH FOCUS (MONTAGUE GRAMMAR, SEMANTICS, ONLY, EVEN) M. Rooth. 1985.
Association with focus Mats Rooth. 1985.
1984
Configurational Notions in Discourse Representation Theory G. Chierchia and M. Rooth. 1984.