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2020 – today
- 2024
[c95]Freda Shi, Kevin Gimpel, Karen Livescu:
Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing. ACL (1) 2024: 12320-12332- [c94]Davis Yoshida, Kartik Goyal, Kevin Gimpel:
MAP's not dead yet: Uncovering true language model modes by conditioning away degeneracy. ACL (1) 2024: 16164-16215 - [c93]Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Kevin Gimpel, Mohit Iyyer:
GEE! Grammar Error Explanation with Large Language Models. NAACL-HLT (Findings) 2024: 754-781 - [i71]Freda Shi, Kevin Gimpel, Karen Livescu:
Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing. CoRR abs/2402.13433 (2024) - 2023
- [j6]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023) - [c92]Cheng-I Jeff Lai, Freda Shi, Puyuan Peng, Yoon Kim, Kevin Gimpel, Shiyu Chang, Yung-Sung Chuang, Saurabhchand Bhati, David D. Cox, David Harwath, Yang Zhang, Karen Livescu, James R. Glass:
Audio-Visual Neural Syntax Acquisition. ASRU 2023: 1-8 - [c91]Lingyu Gao, Debanjan Ghosh, Kevin Gimpel:
The Benefits of Label-Description Training for Zero-Shot Text Classification. EMNLP 2023: 13823-13844 - [i70]Lingyu Gao, Debanjan Ghosh, Kevin Gimpel:
The Benefits of Label-Description Training for Zero-Shot Text Classification. CoRR abs/2305.02239 (2023) - [i69]Cheng-I Jeff Lai, Freda Shi, Puyuan Peng, Yoon Kim, Kevin Gimpel, Shiyu Chang, Yung-Sung Chuang, Saurabhchand Bhati, David D. Cox, David Harwath, Yang Zhang, Karen Livescu, James R. Glass:
Audio-Visual Neural Syntax Acquisition. CoRR abs/2310.07654 (2023) - [i68]Davis Yoshida, Kartik Goyal, Kevin Gimpel:
MAP's not dead yet: Uncovering true language model modes by conditioning away degeneracy. CoRR abs/2311.08817 (2023) - [i67]Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Kevin Gimpel, Mohit Iyyer:
GEE! Grammar Error Explanation with Large Language Models. CoRR abs/2311.09517 (2023) - 2022
- [c90]Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan:
Deep Clustering of Text Representations for Supervision-Free Probing of Syntax. AAAI 2022: 10720-10728 - [c89]Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel:
Chess as a Testbed for Language Model State Tracking. AAAI 2022: 11385-11393 - [c88]Freda Shi, Kevin Gimpel, Karen Livescu:
Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing. ACL (1) 2022: 6547-6563 - [c87]Mingda Chen, Zewei Chu, Sam Wiseman
, Kevin Gimpel:
SummScreen: A Dataset for Abstractive Screenplay Summarization. ACL (1) 2022: 8602-8615 - [c86]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Paraphrastic Representations at Scale. EMNLP (Demos) 2022: 379-388 - [c85]Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel:
Baked-in State Probing. EMNLP (Findings) 2022: 5430-5435 - [c84]Yeshu Li, Danyal Saeed, Xinhua Zhang, Brian D. Ziebart, Kevin Gimpel:
Moment Distributionally Robust Tree Structured Prediction. NeurIPS 2022 - [c83]Lingyu Gao, Debanjan Ghosh, Kevin Gimpel:
"What makes a question inquisitive?" A Study on Type-Controlled Inquisitive Question Generation. *SEM@NAACL-HLT 2022: 240-257 - [i66]Lingyu Gao, Debanjan Ghosh, Kevin Gimpel:
"What makes a question inquisitive?" A Study on Type-Controlled Inquisitive Question Generation. CoRR abs/2205.08056 (2022) - [i65]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - 2021
- [c82]Mingda Chen, Sam Wiseman, Kevin Gimpel:
WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections. ACL/IJCNLP (Findings) 2021: 193-209 - [c81]Haoyue Shi, Karen Livescu, Kevin Gimpel:
Substructure Substitution: Structured Data Augmentation for NLP. ACL/IJCNLP (Findings) 2021: 3494-3508 - [c80]Zewei Chu, Karl Stratos, Kevin Gimpel:
Unsupervised Label Refinement Improves Dataless Text Classification. ACL/IJCNLP (Findings) 2021: 4165-4178 - [c79]Zewei Chu, Karl Stratos, Kevin Gimpel:
NATCAT: Weakly Supervised Text Classification with Naturally Annotated Resources. AKBC 2021 - [c78]Davis Yoshida, Kevin Gimpel:
Reconsidering the Past: Optimizing Hidden States in Language Models. EMNLP (Findings) 2021: 4099-4105 - [c77]Xiaoan Ding, Kevin Gimpel:
FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models. NAACL-HLT 2021: 3242-3258 - [i64]Haoyue Shi, Karen Livescu, Kevin Gimpel:
Substructure Substitution: Structured Data Augmentation for NLP. CoRR abs/2101.00411 (2021) - [i63]Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel:
Learning Chess Blindfolded: Evaluating Language Models on State Tracking. CoRR abs/2102.13249 (2021) - [i62]Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel:
SummScreen: A Dataset for Abstractive Screenplay Summarization. CoRR abs/2104.07091 (2021) - [i61]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Paraphrastic Representations at Scale. CoRR abs/2104.15114 (2021) - [i60]Mingda Chen, Kevin Gimpel:
TVRecap: A Dataset for Generating Stories with Character Descriptions. CoRR abs/2109.08833 (2021) - [i59]Shubham Toshniwal, Patrick Xia, Sam Wiseman, Karen Livescu, Kevin Gimpel:
On Generalization in Coreference Resolution. CoRR abs/2109.09667 (2021) - [i58]Haoyue Shi, Kevin Gimpel, Karen Livescu:
Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing. CoRR abs/2110.08538 (2021) - [i57]Davis Yoshida, Kevin Gimpel:
Reconsidering the Past: Optimizing Hidden States in Language Models. CoRR abs/2112.08653 (2021) - 2020
- [c76]Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si:
How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions. AAAI 2020: 7586-7593 - [c75]Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel:
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. ACL 2020: 2819-2826 - [c74]Shubham Toshniwal, Allyson Ettinger, Kevin Gimpel, Karen Livescu:
PeTra: A Sparsely Supervised Memory Model for People Tracking. ACL 2020: 5415-5428 - [c73]Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel:
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks. SPNLP@EMNLP 2020: 62-73 - [c72]Lingyu Gao, Kevin Gimpel, Arnar Thor Jensson:
Distractor Analysis and Selection for Multiple-Choice Cloze Questions for Second-Language Learners. BEA@ACL 2020: 102-114 - [c71]Mingda Chen, Zewei Chu, Karl Stratos, Kevin Gimpel:
Mining Knowledge for Natural Language Inference from Wikipedia Categories. EMNLP (Findings) 2020: 3500-3511 - [c70]Lifu Tu, Tianyu Liu, Kevin Gimpel:
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks. EMNLP (1) 2020: 5569-5582 - [c69]Haoyue Shi, Karen Livescu, Kevin Gimpel:
On the Role of Supervision in Unsupervised Constituency Parsing. EMNLP (1) 2020: 7611-7621 - [c68]Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel:
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. EMNLP (1) 2020: 8189-8202 - [c67]Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, Karen Livescu, Kevin Gimpel:
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks. EMNLP (1) 2020: 8519-8526 - [c66]Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut:
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. ICLR 2020 - [c65]Mingda Chen, Kevin Gimpel:
Learning Probabilistic Sentence Representations from Paraphrases. RepL4NLP@ACL 2020: 17-23 - [c64]Shubham Toshniwal, Haoyue Shi, Bowen Shi, Lingyu Gao, Karen Livescu, Kevin Gimpel:
A Cross-Task Analysis of Text Span Representations. RepL4NLP@ACL 2020: 166-176 - [i56]Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel:
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. CoRR abs/2005.00850 (2020) - [i55]Shubham Toshniwal, Allyson Ettinger, Kevin Gimpel, Karen Livescu:
PeTra: A Sparsely Supervised Memory Model for People Tracking. CoRR abs/2005.02990 (2020) - [i54]Mingda Chen, Kevin Gimpel:
Learning Probabilistic Sentence Representations from Paraphrases. CoRR abs/2005.08105 (2020) - [i53]Shubham Toshniwal, Haoyue Shi, Bowen Shi, Lingyu Gao, Karen Livescu, Kevin Gimpel:
A Cross-Task Analysis of Text Span Representations. CoRR abs/2006.03866 (2020) - [i52]Davis Yoshida, Allyson Ettinger, Kevin Gimpel:
Adding Recurrence to Pretrained Transformers for Improved Efficiency and Context Size. CoRR abs/2008.07027 (2020) - [i51]Zewei Chu, Karl Stratos, Kevin Gimpel:
Natcat: Weakly Supervised Text Classification with Naturally Annotated Datasets. CoRR abs/2009.14335 (2020) - [i50]Mingda Chen, Zewei Chu, Karl Stratos, Kevin Gimpel:
Mining Knowledge for Natural Language Inference from Wikipedia Categories. CoRR abs/2010.01239 (2020) - [i49]Haoyue Shi, Karen Livescu, Kevin Gimpel:
On the Role of Supervision in Unsupervised Constituency Parsing. CoRR abs/2010.02423 (2020) - [i48]Lifu Tu, Tianyu Liu, Kevin Gimpel:
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks. CoRR abs/2010.02789 (2020) - [i47]Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, Karen Livescu, Kevin Gimpel:
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks. CoRR abs/2010.02807 (2020) - [i46]Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel:
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. CoRR abs/2010.03760 (2020) - [i45]Mingda Chen, Sam Wiseman, Kevin Gimpel:
Controllable Paraphrasing and Translation with a Syntactic Exemplar. CoRR abs/2010.05856 (2020) - [i44]Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan:
Clustering Contextualized Representations of Text for Unsupervised Syntax Induction. CoRR abs/2010.12784 (2020) - [i43]Zewei Chu, Karl Stratos, Kevin Gimpel:
Unsupervised Label Refinement Improves Dataless Text Classification. CoRR abs/2012.04194 (2020) - [i42]Mingda Chen, Sam Wiseman, Kevin Gimpel:
Generating Wikipedia Article Sections from Diverse Data Sources. CoRR abs/2012.14919 (2020)
2010 – 2019
- 2019
- [j5]Aynaz Taheri, Kevin Gimpel, Tanya Y. Berger-Wolf:
Sequence-to-sequence modeling for graph representation learning. Appl. Netw. Sci. 4(1): 68:1-68:26 (2019) - [c63]Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu:
Visually Grounded Neural Syntax Acquisition. ACL (1) 2019: 1842-1861 - [c62]John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig:
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. ACL (1) 2019: 4344-4355 - [c61]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Simple and Effective Paraphrastic Similarity from Parallel Translations. ACL (1) 2019: 4602-4608 - [c60]Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
Controllable Paraphrase Generation with a Syntactic Exemplar. ACL (1) 2019: 5972-5984 - [c59]Lifu Tu, Xiaoan Ding, Dong Yu, Kevin Gimpel:
Generating Diverse Story Continuations with Controllable Semantics. NGT@EMNLP-IJCNLP 2019: 44-58 - [c58]Richard Yuanzhe Pang, Kevin Gimpel:
Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer. NGT@EMNLP-IJCNLP 2019: 138-147 - [c57]Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel:
EntEval: A Holistic Evaluation Benchmark for Entity Representations. EMNLP/IJCNLP (1) 2019: 421-433 - [c56]Xiaoan Ding, Kevin Gimpel:
Latent-Variable Generative Models for Data-Efficient Text Classification. EMNLP/IJCNLP (1) 2019: 507-517 - [c55]Mingda Chen, Zewei Chu, Kevin Gimpel:
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations. EMNLP/IJCNLP (1) 2019: 649-662 - [c54]Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian:
PoMo: Generating Entity-Specific Post-Modifiers in Context. NAACL-HLT (1) 2019: 826-838 - [c53]Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. NAACL-HLT (1) 2019: 2453-2464 - [c52]Lifu Tu, Kevin Gimpel:
Benchmarking Approximate Inference Methods for Neural Structured Prediction. NAACL-HLT (1) 2019: 3313-3324 - [c51]Aynaz Taheri, Kevin Gimpel, Tanya Y. Berger-Wolf:
Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models. WWW (Companion Volume) 2019: 301-307 - [i41]Lifu Tu, Kevin Gimpel:
Benchmarking Approximate Inference Methods for Neural Structured Prediction. CoRR abs/1904.01138 (2019) - [i40]Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. CoRR abs/1904.01173 (2019) - [i39]Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian:
PoMo: Generating Entity-Specific Post-Modifiers in Context. CoRR abs/1904.03111 (2019) - [i38]Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
Controllable Paraphrase Generation with a Syntactic Exemplar. CoRR abs/1906.00565 (2019) - [i37]Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu:
Visually Grounded Neural Syntax Acquisition. CoRR abs/1906.02890 (2019) - [i36]Mingda Chen, Kevin Gimpel:
Smaller Text Classifiers with Discriminative Cluster Embeddings. CoRR abs/1906.09532 (2019) - [i35]Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel:
Variational Sequential Labelers for Semi-Supervised Learning. CoRR abs/1906.09535 (2019) - [i34]Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel:
EntEval: A Holistic Evaluation Benchmark for Entity Representations. CoRR abs/1909.00137 (2019) - [i33]Mingda Chen, Zewei Chu, Kevin Gimpel:
Evaluation Benchmarks and Learning Criteriafor Discourse-Aware Sentence Representations. CoRR abs/1909.00142 (2019) - [i32]John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig:
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. CoRR abs/1909.06694 (2019) - [i31]Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut:
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. CoRR abs/1909.11942 (2019) - [i30]Lifu Tu, Xiaoan Ding, Dong Yu, Kevin Gimpel:
Generating Diverse Story Continuations with Controllable Semantics. CoRR abs/1909.13434 (2019) - [i29]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Simple and Effective Paraphrastic Similarity from Parallel Translations. CoRR abs/1909.13872 (2019) - [i28]Xiaoan Ding, Kevin Gimpel:
Latent-Variable Generative Models for Data-Efficient Text Classification. CoRR abs/1910.00382 (2019) - [i27]Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel:
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks. CoRR abs/1911.02891 (2019) - [i26]Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si:
How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions. CoRR abs/1911.09247 (2019) - 2018
- [c50]John Wieting, Kevin Gimpel:
ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations. ACL (1) 2018: 451-462 - [c49]Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel:
Variational Sequential Labelers for Semi-Supervised Learning. EMNLP 2018: 215-226 - [c48]Kalpesh Krishna, Liang Lu, Kevin Gimpel, Karen Livescu:
A Study of All-Convolutional Encoders for Connectionist Temporal Classification. ICASSP 2018: 5814-5818 - [c47]Lifu Tu, Kevin Gimpel:
Learning Approximate Inference Networks for Structured Prediction. ICLR (Poster) 2018 - [c46]Trang Tran, Shubham Toshniwal, Mohit Bansal, Kevin Gimpel, Karen Livescu, Mari Ostendorf:
Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information. NAACL-HLT 2018: 69-81 - [c45]Mingda Chen, Kevin Gimpel:
Smaller Text Classifiers with Discriminative Cluster Embeddings. NAACL-HLT (2) 2018: 739-745 - [c44]Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer:
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. NAACL-HLT 2018: 1875-1885 - [c43]Dan Hendrycks, Mantas Mazeika, Duncan Wilson, Kevin Gimpel:
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise. NeurIPS 2018: 10477-10486 - [c42]Manasvi Sagarkar, John Wieting, Lifu Tu, Kevin Gimpel:
Quality Signals in Generated Stories. *SEM@NAACL-HLT 2018: 192-202 - [i25]Dan Hendrycks, Mantas Mazeika, Duncan Wilson, Kevin Gimpel:
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise. CoRR abs/1802.05300 (2018) - [i24]Lifu Tu, Kevin Gimpel:
Learning Approximate Inference Networks for Structured Prediction. CoRR abs/1803.03376 (2018) - [i23]Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer:
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. CoRR abs/1804.06059 (2018) - [i22]Richard Yuanzhe Pang, Kevin Gimpel:
Learning Criteria and Evaluation Metrics for Textual Transfer between Non-Parallel Corpora. CoRR abs/1810.11878 (2018) - 2017
- [j4]Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals:
End-to-End Neural Segmental Models for Speech Recognition. IEEE J. Sel. Top. Signal Process. 11(8): 1254-1264 (2017) - [c41]Zheng Cai, Lifu Tu, Kevin Gimpel:
Pay Attention to the Ending: Strong Neural Baselines for the ROC Story Cloze Task. ACL (2) 2017: 616-622 - [c40]John Wieting, Kevin Gimpel:
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings. ACL (1) 2017: 2078-2088 - [c39]Zewei Chu, Hai Wang, Kevin Gimpel, David A. McAllester:
Broad Context Language Modeling as Reading Comprehension. EACL (2) 2017: 52-57 - [c38]John Wieting, Jonathan Mallinson, Kevin Gimpel:
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext. EMNLP 2017: 274-285 - [c37]Dan Hendrycks, Kevin Gimpel:
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks. ICLR (Poster) 2017 - [c36]Dan Hendrycks, Kevin Gimpel:
Early Methods for Detecting Adversarial Images. ICLR (Workshop) 2017 - [c35]Hai Wang, Takeshi Onishi, Kevin Gimpel, David A. McAllester:
Emergent Predication Structure in Hidden State Vectors of Neural Readers. Rep4NLP@ACL 2017: 26-36 - [c34]Lifu Tu, Kevin Gimpel, Karen Livescu:
Learning to Embed Words in Context for Syntactic Tasks. Rep4NLP@ACL 2017: 265-275 - [i21]Trang Tran, Shubham Toshniwal, Mohit Bansal, Kevin Gimpel, Karen Livescu, Mari Ostendorf:
Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing. CoRR abs/1704.07287 (2017) - [i20]John Wieting, Kevin Gimpel:
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings. CoRR abs/1705.00364 (2017) - [i19]John Wieting, Jonathan Mallinson, Kevin Gimpel:
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext. CoRR abs/1706.01847 (2017) - [i18]Lifu Tu, Kevin Gimpel, Karen Livescu:
Learning to Embed Words in Context for Syntactic Tasks. CoRR abs/1706.02807 (2017) - [i17]Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals:
End-to-End Neural Segmental Models for Speech Recognition. CoRR abs/1708.00531 (2017) - [i16]Kalpesh Krishna, Liang Lu, Kevin Gimpel, Karen Livescu:
A Study of All-Convolutional Encoders for Connectionist Temporal Classification. CoRR abs/1710.10398 (2017) - [i15]John Wieting, Kevin Gimpel:
Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations. CoRR abs/1711.05732 (2017) - 2016
- [c33]Xiang Li, Aynaz Taheri, Lifu Tu, Kevin Gimpel:
Commonsense Knowledge Base Completion. ACL (1) 2016 - [c32]John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu:
Charagram: Embedding Words and Sentences via Character n-grams. EMNLP 2016: 1504-1515 - [c31]Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel, David A. McAllester:
Who did What: A Large-Scale Person-Centered Cloze Dataset. EMNLP 2016: 2230-2235 - [c30]Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu:
Efficient Segmental Cascades for Speech Recognition. INTERSPEECH 2016: 1903-1907 - [c29]Yaniv Tenzer, Alexander G. Schwing, Kevin Gimpel, Tamir Hazan:
Constraints Based Convex Belief Propagation. NIPS 2016: 2532-2540 - [c28]Pranava Swaroop Madhyastha, Mohit Bansal, Kevin Gimpel, Karen Livescu:
Mapping Unseen Words to Task-Trained Embedding Spaces. Rep4NLP@ACL 2016: 100-110 - [c27]Hua He, John Wieting, Kevin Gimpel, Jinfeng Rao, Jimmy Lin:
UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement. SemEval@NAACL-HLT 2016: 1103-1108 - [c26]Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu:
End-to-end training approaches for discriminative segmental models. SLT 2016: 496-502 - [c25]John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu:
Towards Universal Paraphrastic Sentence Embeddings. ICLR 2016 - [i14]Dan Hendrycks, Kevin Gimpel:
Bridging Nonlinearities and Stochastic Regularizers with Gaussian Error Linear Units. CoRR abs/1606.08415 (2016) - [i13]Dan Hendrycks, Kevin Gimpel:
Generalizing and Improving Weight Initialization. CoRR abs/1607.02488 (2016) - [i12]John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu:
Charagram: Embedding Words and Sentences via Character n-grams. CoRR abs/1607.02789 (2016) - [i11]Dan Hendrycks, Kevin Gimpel:
Visible Progress on Adversarial Images and a New Saliency Map. CoRR abs/1608.00530 (2016) - [i10]Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu:
Efficient Segmental Cascades for Speech Recognition. CoRR abs/1608.00929 (2016) - [i9]Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel, David A. McAllester:
Who did What: A Large-Scale Person-Centered Cloze Dataset. CoRR abs/1608.05457 (2016) - [i8]Dan Hendrycks, Kevin Gimpel:
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks. CoRR abs/1610.02136 (2016) - [i7]Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu:
End-to-End Training Approaches for Discriminative Segmental Models. CoRR abs/1610.06700 (2016) - [i6]Zewei Chu, Hai Wang, Kevin Gimpel, David A. McAllester:
Broad Context Language Modeling as Reading Comprehension. CoRR abs/1610.08431 (2016) - [i5]Hai Wang, Takeshi Onishi, Kevin Gimpel, David A. McAllester:
Emergent Logical Structure in Vector Representations of Neural Readers. CoRR abs/1611.07954 (2016) - 2015
- [j3]Jing Wang, Mohit Bansal, Kevin Gimpel, Brian D. Ziebart, Clement T. Yu:
A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment. Trans. Assoc. Comput. Linguistics 3: 59-71 (2015) - [j2]John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu:
From Paraphrase Database to Compositional Paraphrase Model and Back. Trans. Assoc. Comput. Linguistics 3: 345-358 (2015) - [c24]Hai Wang, Mohit Bansal, Kevin Gimpel, David A. McAllester:
Machine Comprehension with Syntax, Frames, and Semantics. ACL (2) 2015: 700-706 - [c23]Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu:
Discriminative segmental cascades for feature-rich phone recognition. ASRU 2015: 561-568 - [c22]Hua He, Kevin Gimpel, Jimmy Lin:
Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks. EMNLP 2015: 1576-1586 - [c21]Ang Lu, Weiran Wang, Mohit Bansal, Kevin Gimpel, Karen Livescu:
Deep Multilingual Correlation for Improved Word Embeddings. HLT-NAACL 2015: 250-256 - [i4]John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu:
From Paraphrase Database to Compositional Paraphrase Model and Back. CoRR abs/1506.03487 (2015) - [i3]Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu:
Discriminative Segmental Cascades for Feature-Rich Phone Recognition. CoRR abs/1507.06073 (2015) - [i2]Pranava Swaroop Madhyastha, Mohit Bansal, Kevin Gimpel, Karen Livescu:
Mapping Unseen Words to Task-Trained Embedding Spaces. CoRR abs/1510.02387 (2015) - 2014
- [j1]Kevin Gimpel, Noah A. Smith:
Phrase Dependency Machine Translation with Quasi-Synchronous Tree-to-Tree Features. Comput. Linguistics 40(2): 349-401 (2014) - [c20]Mohit Bansal, Kevin Gimpel, Karen Livescu:
Tailoring Continuous Word Representations for Dependency Parsing. ACL (2) 2014: 809-815 - [c19]Kevin Gimpel, Mohit Bansal:
Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation. EMNLP 2014: 1329-1341 - [c18]Hao Tang, Kevin Gimpel, Karen Livescu:
A comparison of training approaches for discriminative segmental models. INTERSPEECH 2014: 1219-1223 - 2013
- [c17]Kevin Gimpel, Dhruv Batra, Chris Dyer, Gregory Shakhnarovich:
A Systematic Exploration of Diversity in Machine Translation. EMNLP 2013: 1100-1111 - [c16]Olutobi Owoputi, Brendan O'Connor, Chris Dyer, Kevin Gimpel, Nathan Schneider, Noah A. Smith:
Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters. HLT-NAACL 2013: 380-390 - [c15]Shiladitya Sinha, Chris Dyer, Kevin Gimpel, Noah A. Smith:
Predicting the NFL using Twitter. MLSA@PKDD/ECML 2013: 28-38 - [i1]Shiladitya Sinha, Chris Dyer, Kevin Gimpel, Noah A. Smith:
Predicting the NFL using Twitter. CoRR abs/1310.6998 (2013) - 2012
- [c14]Victor Chahuneau, Kevin Gimpel, Bryan R. Routledge, Lily Scherlis, Noah A. Smith:
Word Salad: Relating Food Prices and Descriptions. EMNLP-CoNLL 2012: 1357-1367 - [c13]Kevin Gimpel, Noah A. Smith:
Structured Ramp Loss Minimization for Machine Translation. HLT-NAACL 2012: 221-231 - [c12]Kevin Gimpel, Noah A. Smith:
Concavity and Initialization for Unsupervised Dependency Parsing. HLT-NAACL 2012: 577-581 - 2011
- [c11]Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, Noah A. Smith:
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. ACL (2) 2011: 42-47 - [c10]Kevin Gimpel, Noah A. Smith:
Quasi-Synchronous Phrase Dependency Grammars for Machine Translation. EMNLP 2011: 474-485 - [c9]Chris Dyer, Kevin Gimpel, Jonathan H. Clark, Noah A. Smith:
The CMU-ARK German-English Translation System. WMT@EMNLP 2011: 337-343 - [c8]Kevin Gimpel, Noah A. Smith:
Generative Models of Monolingual and Bilingual Gappy Patterns. WMT@EMNLP 2011: 512-522 - 2010
- [c7]Kevin Gimpel, Dipanjan Das, Noah A. Smith:
Distributed Asynchronous Online Learning for Natural Language Processing. CoNLL 2010: 213-222 - [c6]Mahesh Joshi, Dipanjan Das, Kevin Gimpel, Noah A. Smith:
Movie Reviews and Revenues: An Experiment in Text Regression. HLT-NAACL 2010: 293-296 - [c5]Kevin Gimpel, Noah A. Smith:
Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions. HLT-NAACL 2010: 733-736
2000 – 2009
- 2009
- [c4]Kevin Gimpel, Noah A. Smith:
Cube Summing, Approximate Inference with Non-Local Features, and Dynamic Programming without Semirings. EACL 2009: 318-326 - [c3]Kevin Gimpel, Noah A. Smith:
Feature-Rich Translation by Quasi-Synchronous Lattice Parsing. EMNLP 2009: 219-228 - 2008
- [c2]Shay B. Cohen, Kevin Gimpel, Noah A. Smith:
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction. NIPS 2008: 321-328 - [c1]Kevin Gimpel, Noah A. Smith:
Rich Source-Side Context for Statistical Machine Translation. WMT@ACL 2008: 9-17
Coauthor Index
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