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ORCIDDan Roth
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- affiliation: University of Pennsylvania, USA
- affiliation (former): University of Illinois Urbana-Champaign, IL, USA
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2020 – today
- 2024
[j63]Bonan Min
, Hayley Ross, Elior Sulem, Amir Pouran Ben Veyseh, Thien Huu Nguyen, Oscar Sainz, Eneko Agirre, Ilana Heintz, Dan Roth:
Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey. ACM Comput. Surv. 56(2): 30:1-30:40 (2024)- [j62]Kevin Xie, William K. S. Ojemann, Ryan S. Gallagher, Russell T. Shinohara, Alfredo Lucas, Chloe E. Hill, Roy H. Hamilton, Kevin B. Johnson, Dan Roth, Brian Litt, Colin A. Ellis:
Disparities in seizure outcomes revealed by large language models. J. Am. Medical Informatics Assoc. 31(6): 1348-1355 (2024) - [c413]Aparna Elangovan, Ling Liu, Lei Xu, Sravan Babu Bodapati, Dan Roth:
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models. ACL (1) 2024: 1137-1160 - [c412]Shubhankar Singh, Purvi Chaurasia, Yerram Varun, Pranshu Pandya, Vatsal Gupta, Vivek Gupta, Dan Roth:
FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts. ACL (Findings) 2024: 1330-1350 - [c411]Peter Baile Chen, Yi Zhang, Dan Roth:
Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval. ACL (1) 2024: 2687-2699 - [c410]Pragya Srivastava, Manuj Malik, Vivek Gupta, Tanuja Ganu, Dan Roth:
Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering. ACL (Findings) 2024: 3853-3878 - [c409]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. LREC/COLING 2024: 3433-3445 - [c408]Haoyu Wang, Hongming Zhang, Kaiqiang Song, Dong Yu, Dan Roth:
Event Semantic Classification in Context. EACL (Findings) 2024: 1395-1407 - [c407]Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin, Dan Roth, Noah A. Smith, Wei-Chiu Ma, Ranjay Krishna:
BLINK: Multimodal Large Language Models Can See but Not Perceive. ECCV (23) 2024: 148-166 - [c406]Haoyu Wang, Tao Li, Zhiwei Deng, Dan Roth, Yang Li:
Devil's Advocate: Anticipatory Reflection for LLM Agents. EMNLP (Findings) 2024: 966-978 - [c405]Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson:
Event Causality Identification with Synthetic Control. EMNLP 2024: 1725-1737 - [c404]Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie Su, Camillo J. Taylor, Dan Roth:
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners. EMNLP 2024: 4722-4756 - [c403]Suyash Vardhan Mathur, Jainit Sushil Bafna, Kunal Kartik, Harshita Khandelwal, Manish Shrivastava, Vivek Gupta, Mohit Bansal, Dan Roth:
Knowledge-Aware Reasoning over Multimodal Semi-structured Tables. EMNLP (Findings) 2024: 14054-14073 - [c402]Srija Mukhopadhyay, Adnan Qidwai, Aparna Garimella, Pritika Ramu, Vivek Gupta, Dan Roth:
Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustness. EMNLP (Findings) 2024: 16696-16717 - [c401]Vatsal Gupta, Pranshu Pandya, Tushar Kataria, Vivek Gupta, Dan Roth:
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets. EMNLP 2024: 22162-22184 - [c400]Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang:
Code Representation Learning at Scale. ICLR 2024 - [c399]Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto:
Fewer Truncations Improve Language Modeling. ICML 2024 - [c398]Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao:
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks. NAACL-HLT (Findings) 2024: 1333-1351 - [c397]Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu:
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations. NAACL-HLT 2024: 1596-1609 - [c396]Hangfeng He, Hongming Zhang, Dan Roth:
SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation. NAACL-HLT (Findings) 2024: 2736-2764 - [c395]Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth:
ExpertQA: Expert-Curated Questions and Attributed Answers. NAACL-HLT 2024: 3025-3045 - [c394]Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar:
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception. NAACL-HLT 2024: 3046-3065 - [c393]Bangzheng Li, Ben Zhou, Fei Wang, Xingyu Fu, Dan Roth, Muhao Chen:
Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination? NAACL-HLT 2024: 7675-7688 - [i212]Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang:
Code Representation Learning At Scale. CoRR abs/2402.01935 (2024) - [i211]James Y. Huang, Sailik Sengupta, Daniele Bonadiman, Yi'an Lai, Arshit Gupta, Nikolaos Pappas, Saab Mansour, Katrin Kirchhoff, Dan Roth:
DeAL: Decoding-time Alignment for Large Language Models. CoRR abs/2402.06147 (2024) - [i210]Pragya Srivastava, Manuj Malik, Vivek Gupta, Tanuja Ganu, Dan Roth:
Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering. CoRR abs/2402.11194 (2024) - [i209]Fei Wang, Chao Shang, Sarthak Jain, Shuai Wang, Qiang Ning, Bonan Min, Vittorio Castelli, Yassine Benajiba, Dan Roth:
From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification. CoRR abs/2403.06326 (2024) - [i208]Bowen Jiang, Zhijun Zhuang, Shreyas S. Shivakumar, Dan Roth, Camillo J. Taylor:
Multi-Agent VQA: Exploring Multi-Agent Foundation Models in Zero-Shot Visual Question Answering. CoRR abs/2403.14783 (2024) - [i207]Ben Zhou, Hongming Zhang, Sihao Chen, Dian Yu, Hongwei Wang, Baolin Peng, Dan Roth, Dong Yu:
Conceptual and Unbiased Reasoning in Language Models. CoRR abs/2404.00205 (2024) - [i206]Peter Baile Chen, Yi Zhang, Dan Roth:
Is Table Retrieval a Solved Problem? Join-Aware Multi-Table Retrieval. CoRR abs/2404.09889 (2024) - [i205]Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto:
Fewer Truncations Improve Language Modeling. CoRR abs/2404.10830 (2024) - [i204]Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin, Dan Roth, Noah A. Smith, Wei-Chiu Ma, Ranjay Krishna:
BLINK: Multimodal Large Language Models Can See but Not Perceive. CoRR abs/2404.12390 (2024) - [i203]Yu Feng, Ben Zhou, Weidong Lin, Dan Roth:
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models. CoRR abs/2404.12494 (2024) - [i202]Haoyu Wang, Tao Li, Zhiwei Deng, Dan Roth, Yang Li:
Devil's Advocate: Anticipatory Reflection for LLM Agents. CoRR abs/2405.16334 (2024) - [i201]Aparna Elangovan, Ling Liu, Lei Xu, Sravan Bodapati, Dan Roth:
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models. CoRR abs/2405.18638 (2024) - [i200]Xingyu Fu, Muyu He, Yujie Lu, William Yang Wang, Dan Roth:
Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense? CoRR abs/2406.07546 (2024) - [i199]Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Ranjay Krishna:
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models. CoRR abs/2406.09403 (2024) - [i198]Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen:
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. CoRR abs/2406.09411 (2024) - [i197]Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie J. Su, Camillo J. Taylor, Dan Roth:
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners. CoRR abs/2406.11050 (2024) - [i196]Bangzheng Li, Ben Zhou, Xingyu Fu, Fei Wang, Dan Roth, Muhao Chen:
FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimation. CoRR abs/2406.11243 (2024) - [i195]Shubhankar Singh, Purvi Chaurasia, Yerram Varun, Pranshu Pandya, Vatsal Gupta, Vivek Gupta, Dan Roth:
FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts. CoRR abs/2406.19237 (2024) - [i194]Nikhil Abhyankar, Vivek Gupta, Dan Roth, Chandan K. Reddy:
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables. CoRR abs/2407.05952 (2024) - [i193]Kaifu Wang, Efthymia Tsamoura, Dan Roth:
On Characterizing and Mitigating Imbalances in Multi-Instance Partial Label Learning. CoRR abs/2407.10000 (2024) - [i192]Pranshu Pandya, Agney S. Talwarr, Vatsal Gupta, Tushar Kataria, Vivek Gupta, Dan Roth:
NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models. CoRR abs/2407.10380 (2024) - [i191]Srija Mukhopadhyay, Adnan Qidwai, Aparna Garimella, Pritika Ramu, Vivek Gupta, Dan Roth:
Unraveling the Truth: Do LLMs really Understand Charts? A Deep Dive into Consistency and Robustness. CoRR abs/2407.11229 (2024) - [i190]Irwin Deng, Kushagra Dixit, Vivek Gupta, Dan Roth:
Enhancing Temporal Understanding in LLMs for Semi-structured Tables. CoRR abs/2407.16030 (2024) - [i189]Suyash Vardhan Mathur, Jainit Sushil Bafna, Kunal Kartik, Harshita Khandelwal, Manish Shrivastava, Vivek Gupta, Mohit Bansal, Dan Roth:
Knowledge-Aware Reasoning over Multimodal Semi-structured Tables. CoRR abs/2408.13860 (2024) - [i188]Srija Mukhopadhyay, Abhishek Rajgaria, Prerana Khatiwada, Vivek Gupta, Dan Roth:
MAPWise: Evaluating Vision-Language Models for Advanced Map Queries. CoRR abs/2409.00255 (2024) - [i187]Qingru Zhang, Xiaodong Yu, Chandan Singh, Xiaodong Liu, Liyuan Liu, Jianfeng Gao, Tuo Zhao, Dan Roth, Hao Cheng:
Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering. CoRR abs/2409.10790 (2024) - [i186]Tianyue Ou, Frank F. Xu, Aman Madaan, Jiarui Liu, Robert Lo, Abishek Sridhar, Sudipta Sengupta, Dan Roth, Graham Neubig, Shuyan Zhou:
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale. CoRR abs/2409.15637 (2024) - [i185]Aparna Elangovan, Jongwoo Ko, Lei Xu, Mahsa Elyasi, Ling Liu, Sravan Bodapati, Dan Roth:
Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge. CoRR abs/2410.03775 (2024) - [i184]Jiashu He, Mingyu Derek Ma, Jinxuan Fan, Dan Roth, Wei Wang, Alejandro Ribeiro:
GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation. CoRR abs/2410.08475 (2024) - 2023
- [j61]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) - [c392]Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi:
GLUECons: A Generic Benchmark for Learning under Constraints. AAAI 2023: 9552-9561 - [c391]Yahan Yang, Soham Dan, Dan Roth, Insup Lee:
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing. ACL (2) 2023: 657-669 - [c390]Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang:
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. ACL (Findings) 2023: 2333-2346 - [c389]Rujun Han, Peng Qi, Yuhao Zhang, Lan Liu, Juliette Burger, William Yang Wang, Zhiheng Huang, Bing Xiang, Dan Roth:
RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering. ACL (Findings) 2023: 4294-4311 - [c388]Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, Dan Roth, Tal Schuster:
PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition. ACL (Findings) 2023: 8874-8893 - [c387]Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth:
Characterizing and Measuring Linguistic Dataset Drift. ACL (1) 2023: 8953-8967 - [c386]Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth:
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. ACL (1) 2023: 11833-11856 - [c385]Yu Feng, Ben Zhou, Haoyu Wang, Helen Jin, Dan Roth:
Generic Temporal Reasoning with Differential Analysis and Explanation. ACL (1) 2023: 12013-12029 - [c384]Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang:
ReCode: Robustness Evaluation of Code Generation Models. ACL (1) 2023: 13818-13843 - [c383]Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Yang Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang:
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. ACL (1) 2023: 16171-16189 - [c382]Wenpeng Yin, Muhao Chen, Ben Zhou, Qiang Ning, Kai-Wei Chang, Dan Roth:
Indirectly Supervised Natural Language Processing. ACL (tutorial) 2023: 32-40 - [c381]Hongming Zhang, Yintong Huo, Yanai Elazar, Yangqiu Song, Yoav Goldberg, Dan Roth:
CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm. EACL (Findings) 2023: 114-124 - [c380]Haoyu Wang, Hongming Zhang, Yuqian Deng, Jacob R. Gardner, Dan Roth, Muhao Chen:
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction. EACL 2023: 541-553 - [c379]Daniel Deutsch, Dan Roth:
Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection. EACL 2023: 575-588 - [c378]Rotem Dror, Haoyu Wang, Dan Roth:
Zero-Shot On-the-Fly Event Schema Induction. EACL (Findings) 2023: 693-713 - [c377]Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth:
Event Linking: Grounding Event Mentions to Wikipedia. EACL 2023: 2671-2680 - [c376]Yahan Yang, Elior Sulem, Insup Lee, Dan Roth:
Bootstrapping Small & High Performance Language Models with Unmasking-Removal Training Policy. EMNLP 2023: 457-464 - [c375]Haoyu Wang, Hongming Zhang, Yueguan Wang, Yuqian Deng, Muhao Chen, Dan Roth:
Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes. EMNLP 2023: 4048-4056 - [c374]Nishanth Sridhar Nakshatri, Siyi Liu, Sihao Chen, Dan Roth, Dan Goldwasser, Daniel Hopkins:
Using LLM for Improving Key Event Discovery: Temporal-Guided News Stream Clustering with Event Summaries. EMNLP (Findings) 2023: 4162-4173 - [c373]Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros:
Taxonomy Expansion for Named Entity Recognition. EMNLP 2023: 6895-6906 - [c372]Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth:
Comparing Biases and the Impact of Multilingual Training across Multiple Languages. EMNLP 2023: 10260-10280 - [c371]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth:
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. ICLR 2023 - [c370]Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth:
On Regularization and Inference with Label Constraints. ICML 2023: 35740-35762 - [c369]Shamik Roy, Raphael Shu, Nikolaos Pappas, Elman Mansimov, Yi Zhang, Saab Mansour, Dan Roth:
Conversation Style Transfer using Few-Shot Learning. IJCNLP (1) 2023: 119-143 - [c368]Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth:
Privacy Adhering Machine Un-learning in NLP. IJCNLP (Findings) 2023: 268-277 - [c367]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. NeurIPS 2023 - [c366]Kaifu Wang, Efthymia Tsamoura, Dan Roth:
On Learning Latent Models with Multi-Instance Weak Supervision. NeurIPS 2023 - [c365]Iker García-Ferrero, Jon Ander Campos, Oscar Sainz, Ander Salaberria, Dan Roth:
IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition Using Knowledge Bases. SemEval@ACL 2023: 1335-1346 - [c364]Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth:
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis. WASSA@ACL 2023: 19-27 - [i183]Hangfeng He, Hongming Zhang, Dan Roth:
Rethinking with Retrieval: Faithful Large Language Model Inference. CoRR abs/2301.00303 (2023) - [i182]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henry Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, William Yang Wang, Zhiheng Huang, George Karypis, Bing Xiang, Dan Roth:
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. CoRR abs/2302.06729 (2023) - [i181]Shamik Roy, Raphael Shu, Nikolaos Pappas, Elman Mansimov, Yi Zhang, Saab Mansour, Dan Roth:
Conversation Style Transfer using Few-Shot Learning. CoRR abs/2302.08362 (2023) - [i180]Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi:
GLUECons: A Generic Benchmark for Learning Under Constraints. CoRR abs/2302.10914 (2023) - [i179]Sihao Chen, William Bruno, Dan Roth:
Towards Corpus-Scale Discovery of Selection Biases in News Coverage: Comparing What Sources Say About Entities as a Start. CoRR abs/2304.03414 (2023) - [i178]Iker García-Ferrero, Jon Ander Campos, Oscar Sainz, Ander Salaberria, Dan Roth:
IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition using Knowledge Bases. CoRR abs/2304.10637 (2023) - [i177]Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth:
Comparing Biases and the Impact of Multilingual Training across Multiple Languages. CoRR abs/2305.11242 (2023) - [i176]Siyi Liu, Hongming Zhang, Hongwei Wang, Kaiqiang Song, Dan Roth, Dong Yu:
Open-Domain Event Graph Induction for Mitigating Framing Bias. CoRR abs/2305.12835 (2023) - [i175]Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros:
Taxonomy Expansion for Named Entity Recognition. CoRR abs/2305.13191 (2023) - [i174]Xingyu Fu, Ben Zhou, Sihao Chen, Mark Yatskar, Dan Roth:
Interpretable by Design Visual Question Answering. CoRR abs/2305.14882 (2023) - [i173]Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth:
Characterizing and Measuring Linguistic Dataset Drift. CoRR abs/2305.17127 (2023) - [i172]Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang:
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. CoRR abs/2305.18842 (2023) - [i171]Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang:
A Static Evaluation of Code Completion by Large Language Models. CoRR abs/2306.03203 (2023) - [i170]Kaifu Wang, Efi Tsamoura, Dan Roth:
On Learning Latent Models with Multi-Instance Weak Supervision. CoRR abs/2306.13796 (2023) - [i169]Alyssa Hwang, Bryan Li, Zhaoyi Hou, Dan Roth:
Large Language Models as Sous Chefs: Revising Recipes with GPT-3. CoRR abs/2306.13986 (2023) - [i168]Hantian Ding, Jinrui Yang, Yuqian Deng, Hongming Zhang, Dan Roth:
Towards Open-Domain Topic Classification. CoRR abs/2306.17290 (2023) - [i167]Vivek Srikumar, Dan Roth:
The Integer Linear Programming Inference Cookbook. CoRR abs/2307.00171 (2023) - [i166]Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth:
On Regularization and Inference with Label Constraints. CoRR abs/2307.03886 (2023) - [i165]Xiaodong Yu, Ben Zhou, Dan Roth:
Building Interpretable and Reliable Open Information Retriever for New Domains Overnight. CoRR abs/2308.04756 (2023) - [i164]Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang:
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. CoRR abs/2308.05317 (2023) - [i163]Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth:
ExpertQA: Expert-Curated Questions and Attributed Answers. CoRR abs/2309.07852 (2023) - [i162]Hangfeng He, Hongming Zhang, Dan Roth:
SocREval: Large Language Models with the Socratic Method for Reference-Free Reasoning Evaluation. CoRR abs/2310.00074 (2023) - [i161]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. CoRR abs/2310.11248 (2023) - [i160]Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao:
Automatic Hallucination Assessment for Aligned Large Language Models via Transferable Adversarial Attacks. CoRR abs/2310.12516 (2023) - [i159]Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu:
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations. CoRR abs/2311.04335 (2023) - [i158]Vatsal Gupta, Pranshu Pandya, Tushar Kataria, Vivek Gupta, Dan Roth:
Multi-Set Inoculation: Assessing Model Robustness Across Multiple Challenge Sets. CoRR abs/2311.08662 (2023) - [i157]Yahan Yang, Soham Dan, Dan Roth, Insup Lee:
Understanding Calibration for Multilingual Question Answering Models. CoRR abs/2311.08669 (2023) - [i156]Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar:
Pachinko: Patching Interpretable QA Models through Natural Language Feedback. CoRR abs/2311.09558 (2023) - [i155]Bangzheng Li, Ben Zhou, Fei Wang, Xingyu Fu, Dan Roth, Muhao Chen:
Deceiving Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination? CoRR abs/2311.09702 (2023) - 2022
- [j60]Parisa Kordjamshidi, Dan Roth, Kristian Kersting:
Declarative Learning-Based Programming as an Interface to AI Systems. Frontiers Artif. Intell. 5: 755361 (2022) - [j59]Kevin Xie, Ryan S. Gallagher, Erin C. Conrad, Chadric O. Garrick, Steven Baldassano, John M. Bernabei, Peter D. Galer, Nina J. Ghosn, Adam S. Greenblatt, Tara Jennings, Alana Kornspun, Catherine V. Kulick-Soper, Jal M. Panchal, Akash R. Pattnaik, Brittany Scheid, Danmeng Wei, Micah Weitzman, Ramya Muthukrishnan, Joongwon Kim, Brian Litt, Colin A. Ellis, Dan Roth:
Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing. J. Am. Medical Informatics Assoc. 29(5): 873-881 (2022) - [c363]Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth:
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. ACL (2) 2022: 203-211 - [c362]Xingyu Fu, Ben Zhou, Ishaan Preetam Chandratreya, Carl Vondrick, Dan Roth:
There's a Time and Place for Reasoning Beyond the Image. ACL (1) 2022: 1138-1149 - [c361]Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, Dan Roth:
Label Semantics for Few Shot Named Entity Recognition. ACL (Findings) 2022: 1956-1971 - [c360]Daniel Deutsch, Dan Roth:
Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics. ACL (Findings) 2022: 3759-3765 - [c359]Aaron Mueller, Jason Krone, Salvatore Romeo, Saab Mansour, Elman Mansimov, Yi Zhang, Dan Roth:
Label Semantic Aware Pre-training for Few-shot Text Classification. ACL (1) 2022: 8318-8334 - [c358]Kevin Xie, Brian Litt, Dan Roth, Colin A. Ellis:
Quantifying Clinical Outcome Measures in Patients with Epilepsy Using the Electronic Health Record. BioNLP@ACL 2022: 369-375 - [c357]Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis:
Cross-modal Map Learning for Vision and Language Navigation. CVPR 2022: 15439-15449 - [c356]Ben Zhou, Kyle Richardson, Xiaodong Yu, Dan Roth:
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts. EMNLP 2022: 2223-2235 - [c355]William Bruno, Dan Roth:
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval. EMNLP (Findings) 2022: 5019-5043 - [c354]Daniel Deutsch, Rotem Dror, Dan Roth:
On the Limitations of Reference-Free Evaluations of Generated Text. EMNLP 2022: 10960-10977 - [c353]Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, Weijie J. Su:
Weighted Training for Cross-Task Learning. ICLR 2022 - [c352]Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig:
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. ICML 2022: 468-485 - [c351]Soham Dan, Osbert Bastani, Dan Roth:
Understanding Robust Generalization in Learning Regular Languages. ICML 2022: 4630-4643 - [c350]Jiayao Zhang, Hongming Zhang, Weijie J. Su, Dan Roth:
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality. ICML 2022: 26750-26771 - [c349]Kasturi Bhattacharjee, Rashmi Gangadharaiah, Kathleen R. McKeown, Dan Roth:
What Do Users Care About? Detecting Actionable Insights from User Feedback. NAACL-HLT (Industry Papers) 2022: 239-246 - [c348]Ritam Dutt, Kasturi Bhattacharjee, Rashmi Gangadharaiah, Dan Roth, Carolyn P. Rosé:
PerKGQA: Question Answering over Personalized Knowledge Graphs. NAACL-HLT (Findings) 2022: 253-268 - [c347]Sihao Chen, Siyi Liu, Xander Uyttendaele, Yi Zhang, William Bruno, Dan Roth:
Design Challenges for a Multi-Perspective Search Engine. NAACL-HLT (Findings) 2022: 293-303 - [c346]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henghui Zhu, Xinchi Chen, Peng Xu, Zhiheng Huang, Andrew O. Arnold, Dan Roth:
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. NAACL-HLT (Findings) 2022: 465-475 - [c345]Elior Sulem, Jamaal Hay, Dan Roth:
Yes, No or IDK: The Challenge of Unanswerable Yes/No Questions. NAACL-HLT 2022: 1075-1085 - [c344]Daniel Deutsch, Rotem Dror, Dan Roth:
Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics. NAACL-HLT 2022: 6038-6052 - [c343]Xiaodong Yu, Wenpeng Yin, Dan Roth:
Pairwise Representation Learning for Event Coreference. *SEM@NAACL-HLT 2022: 69-78 - [c342]Zheng Qi, Elior Sulem, Haoyu Wang, Xiaodong Yu, Dan Roth:
Capturing the Content of a Document through Complex Event Identification. *SEM@NAACL-HLT 2022: 331-340 - [i154]Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig:
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. CoRR abs/2201.12431 (2022) - [i153]Jiayao Zhang, Hongming Zhang, Dan Roth, Weijie J. Su:
Causal Inference Principles for Reasoning about Commonsense Causality. CoRR abs/2202.00436 (2022) - [i152]Soham Dan, Osbert Bastani, Dan Roth:
Understanding Robust Generalization in Learning Regular Languages. CoRR abs/2202.09717 (2022) - [i151]Xingyu Fu, Ben Zhou, Ishaan Preetam Chandratreya, Carl Vondrick, Dan Roth:
There is a Time and Place for Reasoning Beyond the Image. CoRR abs/2203.00758 (2022) - [i150]Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis:
Cross-modal Map Learning for Vision and Language Navigation. CoRR abs/2203.05137 (2022) - [i149]Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, Dan Roth:
Label Semantics for Few Shot Named Entity Recognition. CoRR abs/2203.08985 (2022) - [i148]Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth:
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. CoRR abs/2203.11239 (2022) - [i147]Aaron Mueller, Jason Krone, Salvatore Romeo, Saab Mansour, Elman Mansimov, Yi Zhang, Dan Roth:
Label Semantic Aware Pre-training for Few-shot Text Classification. CoRR abs/2204.07128 (2022) - [i146]Daniel Deutsch, Dan Roth:
Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics. CoRR abs/2204.10206 (2022) - [i145]Daniel Deutsch, Rotem Dror, Dan Roth:
Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics. CoRR abs/2204.10216 (2022) - [i144]Daniel Deutsch, Dan Roth:
Repro: An Open-Source Library for Improving the Reproducibility and Usability of Publicly Available Research Code. CoRR abs/2204.13848 (2022) - [i143]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henry Zhu, Xinchi Chen, Zhiheng Huang, Peng Xu, Andrew O. Arnold, Dan Roth:
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. CoRR abs/2205.09224 (2022) - [i142]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) - [i141]Harsha Kokel, Mayukh Das, Md. Rakibul Islam, Julia Bonn, Jon Z. Cai, Soham Dan, Anjali Narayan-Chen, Prashant Jayannavar, Janardhan Rao Doppa, Julia Hockenmaier, Sriraam Natarajan, Martha Palmer, Dan Roth:
Human-guided Collaborative Problem Solving: A Natural Language based Framework. CoRR abs/2207.09566 (2022) - [i140]Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth:
Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters. CoRR abs/2210.03264 (2022) - [i139]Hongming Zhang, Yueguan Wang, Yuqian Deng, Haoyu Wang, Muhao Chen, Dan Roth:
Are All Steps Equally Important? Benchmarking Essentiality Detection of Events. CoRR abs/2210.04074 (2022) - [i138]Haoyu Wang, Hongming Zhang, Yuqian Deng, Jacob R. Gardner, Dan Roth, Muhao Chen:
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction. CoRR abs/2210.04992 (2022) - [i137]Ben Zhou, Dian Yu, Dong Yu, Dan Roth:
Cross-Lingual Speaker Identification Using Distant Supervision. CoRR abs/2210.05780 (2022) - [i136]Hongming Zhang, Yintong Huo, Yanai Elazar, Yangqiu Song, Yoav Goldberg, Dan Roth:
CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm. CoRR abs/2210.06246 (2022) - [i135]Rotem Dror, Haoyu Wang, Dan Roth:
Zero-Shot On-the-Fly Event Schema Induction. CoRR abs/2210.06254 (2022) - [i134]Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth:
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis. CoRR abs/2210.06629 (2022) - [i133]Daniel Deutsch, Rotem Dror, Dan Roth:
On the Limitations of Reference-Free Evaluations of Generated Text. CoRR abs/2210.12563 (2022) - [i132]Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang:
Multi-lingual Evaluation of Code Generation Models. CoRR abs/2210.14868 (2022) - [i131]Ben Zhou, Kyle Richardson, Xiaodong Yu, Dan Roth:
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts. CoRR abs/2210.16865 (2022) - [i130]Jiayao Zhang, Hongming Zhang, Zhun Deng, Dan Roth:
Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach. CoRR abs/2211.06398 (2022) - [i129]William Bruno, Dan Roth:
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval. CoRR abs/2212.03222 (2022) - [i128]Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth:
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. CoRR abs/2212.09095 (2022) - [i127]Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth:
Privacy Adhering Machine Un-learning in NLP. CoRR abs/2212.09573 (2022) - [i126]Raphael Shu, Elman Mansimov, Tamer Alkhouli, Nikolaos Pappas, Salvatore Romeo, Arshit Gupta, Saab Mansour, Yi Zhang, Dan Roth:
Dialog2API: Task-Oriented Dialogue with API Description and Example Programs. CoRR abs/2212.09946 (2022) - [i125]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context. CoRR abs/2212.10007 (2022) - [i124]Yahan Yang, Soham Dan, Dan Roth, Insup Lee:
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing. CoRR abs/2212.10258 (2022) - [i123]Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang:
ReCode: Robustness Evaluation of Code Generation Models. CoRR abs/2212.10264 (2022) - [i122]Yu Feng, Ben Zhou, Haoyu Wang, Helen Jin, Dan Roth:
Generic Temporal Reasoning with Differential Analysis and Explanation. CoRR abs/2212.10467 (2022) - [i121]Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, Dan Roth, Tal Schuster:
PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition. CoRR abs/2212.10750 (2022) - 2021
- [j58]Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, Jonathan Berant:
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies. Trans. Assoc. Comput. Linguistics 9: 346-361 (2021) - [j57]Daniel Deutsch, Tania Bedrax-Weiss, Dan Roth:
Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary. Trans. Assoc. Comput. Linguistics 9: 774-789 (2021) - [j56]Daniel Deutsch, Rotem Dror, Dan Roth:
A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods. Trans. Assoc. Comput. Linguistics 9: 1132-1146 (2021) - [c341]Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier:
Visual Pivoting for (Unsupervised) Entity Alignment. AAAI 2021: 4257-4266 - [c340]Qing Lyu, Hongming Zhang, Elior Sulem, Dan Roth:
Zero-shot Event Extraction via Transfer Learning: Challenges and Insights. ACL/IJCNLP (2) 2021: 322-332 - [c339]Hongming Zhang, Haoyu Wang, Dan Roth:
Zero-shot Label-Aware Event Trigger and Argument Classification. ACL/IJCNLP (Findings) 2021: 1331-1340 - [c338]Ruohao Guo, Dan Roth:
Constrained Labeled Data Generation for Low-Resource Named Entity Recognition. ACL/IJCNLP (Findings) 2021: 4519-4533 - [c337]Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, Iryna Gurevych:
Coreference Reasoning in Machine Reading Comprehension. ACL/IJCNLP (1) 2021: 5768-5781 - [c336]Yi Zhang, Zachary G. Ives, Dan Roth:
What is Your Article Based On? Inferring Fine-grained Provenance. ACL/IJCNLP (1) 2021: 5894-5903 - [c335]Daniel Deutsch, Dan Roth:
Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries. CoNLL 2021: 300-309 - [c334]Philip A. Huebner, Elior Sulem, Cynthia Fisher, Dan Roth:
BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language. CoNLL 2021: 624-646 - [c333]Hongming Zhang, Yintong Huo, Xinran Zhao, Yangqiu Song, Dan Roth:
Learning Contextual Causality Between Daily Events From Time-Consecutive Images. CVPR Workshops 2021: 1752-1755 - [c332]Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth:
Cross-lingual Entity Alignment with Incidental Supervision. EACL 2021: 645-658 - [c331]Alla Rozovskaya, Dan Roth:
How Good (really) are Grammatical Error Correction Systems? EACL 2021: 2686-2698 - [c330]Hangfeng He, Mingyuan Zhang, Qiang Ning, Dan Roth:
Foreseeing the Benefits of Incidental Supervision. EMNLP (1) 2021: 1782-1800 - [c329]Soham Dan, Osbert Bastani, Dan Roth:
Few-Shot Novel Concept Learning for Semantic Parsing. EMNLP (Findings) 2021: 2064-2075 - [c328]Soham Dan, Xinran Han, Dan Roth:
Compositional Data and Task Augmentation for Instruction Following. EMNLP (Findings) 2021: 2076-2081 - [c327]Soham Dan, Dan Roth:
On the Effects of Transformer Size on In- and Out-of-Domain Calibration. EMNLP (Findings) 2021: 2096-2101 - [c326]Elior Sulem, Jamaal Hay, Dan Roth:
Do We Know What We Don't Know? Studying Unanswerable Questions beyond SQuAD 2.0. EMNLP (Findings) 2021: 4543-4548 - [c325]Haoyu Wang, Hongming Zhang, Muhao Chen, Dan Roth:
Learning Constraints and Descriptive Segmentation for Subevent Detection. EMNLP (1) 2021: 5216-5226 - [c324]Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth:
Paired Examples as Indirect Supervision in Latent Decision Models. EMNLP (1) 2021: 5774-5785 - [c323]Rujun Han, I-Hung Hsu, Jiao Sun, Julia Baylon, Qiang Ning, Dan Roth, Nanyun Peng:
ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations. EMNLP (1) 2021: 7543-7559 - [c322]Yanai Elazar, Hongming Zhang, Yoav Goldberg, Dan Roth:
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema. EMNLP (1) 2021: 10486-10500 - [c321]Ansel MacLaughlin, Tao Chen, Burcu Karagol Ayan, Dan Roth:
Context-Based Quotation Recommendation. ICWSM 2021: 397-408 - [c320]Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong, Dan Roth:
Event Time Extraction and Propagation via Graph Attention Networks. NAACL-HLT 2021: 62-73 - [c319]Haoyang Wen, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Ren Fung, Piyush Mishra, Qing Lyu, Dídac Surís, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji:
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. NAACL-HLT (Demonstrations) 2021: 133-143 - [c318]Soham Dan, Michael Zhou, Dan Roth:
Generalization in Instruction Following Systems. NAACL-HLT 2021: 976-981 - [c317]Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, Dan Roth:
Temporal Reasoning on Implicit Events from Distant Supervision. NAACL-HLT 2021: 1361-1371 - [c316]Yi Zhang, Sujay Kumar Jauhar, Julia Kiseleva, Ryen White, Dan Roth:
Learning to Decompose and Organize Complex Tasks. NAACL-HLT 2021: 2726-2735 - [c315]Siyi Liu, Sihao Chen, Xander Uyttendaele, Dan Roth:
MultiOpEd: A Corpus of Multi-Perspective News Editorials. NAACL-HLT 2021: 4345-4361 - [c314]Sihao Chen, Fan Zhang, Kazoo Sone, Dan Roth:
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection. NAACL-HLT 2021: 5935-5941 - [c313]Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth, Iryna Gurevych:
SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables. NeurIPS Datasets and Benchmarks 2021 - [i120]Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, Jonathan Berant:
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies. CoRR abs/2101.02235 (2021) - [i119]Daniel Deutsch, Rotem Dror, Dan Roth:
A Statistical Analysis of Summarization Evaluation Metrics using Resampling Methods. CoRR abs/2104.00054 (2021) - [i118]Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth:
Paired Examples as Indirect Supervision in Latent Decision Models. CoRR abs/2104.01759 (2021) - [i117]Yanai Elazar, Hongming Zhang, Yoav Goldberg, Dan Roth:
Back to Square One: Bias Detection, Training and Commonsense Disentanglement in the Winograd Schema. CoRR abs/2104.08161 (2021) - [i116]Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth, Iryna Gurevych:
Learning to Reason for Text Generation from Scientific Tables. CoRR abs/2104.08296 (2021) - [i115]Rujun Han, I-Hung Hsu, Jiao Sun, Julia Baylon, Qiang Ning, Dan Roth, Nanyun Peng:
ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning. CoRR abs/2104.08350 (2021) - [i114]Sihao Chen, Fan Zhang, Kazoo Sone, Dan Roth:
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection. CoRR abs/2104.09061 (2021) - [i113]Celine Lee, Justin Gottschlich, Dan Roth:
Toward Code Generation: A Survey and Lessons from Semantic Parsing. CoRR abs/2105.03317 (2021) - [i112]Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, Weijie J. Su:
Weighted Training for Cross-Task Learning. CoRR abs/2105.14095 (2021) - [i111]Siyi Liu, Sihao Chen, Xander Uyttendaele, Dan Roth:
MultiOpEd: A Corpus of Multi-Perspective News Editorials. CoRR abs/2106.02725 (2021) - [i110]Haoyu Wang, Hongming Zhang, Muhao Chen, Dan Roth:
Learning Constraints and Descriptive Segmentation for Subevent Detection. CoRR abs/2109.06316 (2021) - [i109]Bonan Min, Hayley Ross, Elior Sulem, Amir Pouran Ben Veyseh, Thien Huu Nguyen, Oscar Sainz, Eneko Agirre, Ilana Heintz, Dan Roth:
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey. CoRR abs/2111.01243 (2021) - [i108]Daniel Deutsch, Dan Roth:
Question-Based Salient Span Selection for More Controllable Text Summarization. CoRR abs/2111.07935 (2021) - [i107]Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth:
Event Linking: Grounding Event Mentions to Wikipedia. CoRR abs/2112.07888 (2021) - [i106]Sihao Chen, Siyi Liu, Xander Uyttendaele, Yi Zhang, William Bruno, Dan Roth:
Design Challenges for a Multi-Perspective Search Engine. CoRR abs/2112.08357 (2021) - 2020
- [j55]Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H. Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Andrew Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov:
Task-Oriented Dialogue as Dataflow Synthesis. Trans. Assoc. Comput. Linguistics 8: 556-571 (2020) - [c312]Stephen Mayhew, Nitish Gupta, Dan Roth:
Robust Named Entity Recognition with Truecasing Pretraining. AAAI 2020: 8480-8487 - [c311]Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi, Dan Roth:
Commonsense Reasoning for Natural Language Processing. ACL (tutorial) 2020: 27-33 - [c310]Yi Zhang, Zachary G. Ives, Dan Roth:
"Who said it, and Why?" Provenance for Natural Language Claims. ACL 2020: 4416-4426 - [c309]Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal, Dan Roth:
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses. ACL 2020: 5715-5725 - [c308]Ben Zhou, Qiang Ning, Daniel Khashabi, Dan Roth:
Temporal Common Sense Acquisition with Minimal Supervision. ACL 2020: 7579-7589 - [c307]Hangfeng He, Qiang Ning, Dan Roth:
QuASE: Question-Answer Driven Sentence Encoding. ACL 2020: 8743-8758 - [c306]Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth:
Do Language Embeddings capture Scales? BlackboxNLP@EMNLP 2020: 292-299 - [c305]Disha Jindal, Daniel Deutsch, Dan Roth:
Is Killed More Significant than Fled? A Contextual Model for Salient Event Detection. COLING 2020: 114-124 - [c304]Ayal Klein, Jonathan Mamou, Valentina Pyatkin, Daniela Stepanov, Hangfeng He, Dan Roth, Luke Zettlemoyer, Ido Dagan:
QANom: Question-Answer driven SRL for Nominalizations. COLING 2020: 3069-3083 - [c303]Muhao Chen, Hongming Zhang, Haoyu Wang, Dan Roth:
What Are You Trying to Do? Semantic Typing of Event Processes. CoNLL 2020: 531-542 - [c302]Haoyu Wang, Muhao Chen, Hongming Zhang, Dan Roth:
Joint Constrained Learning for Event-Event Relation Extraction. EMNLP (1) 2020: 696-706 - [c301]Zi Lin, Jeremiah Z. Liu, Zi Yang, Nan Hua, Dan Roth:
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior. EMNLP (Findings) 2020: 719-730 - [c300]Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth:
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. EMNLP (1) 2020: 1158-1172 - [c299]Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, Dan Roth:
Analogous Process Structure Induction for Sub-event Sequence Prediction. EMNLP (1) 2020: 1541-1550 - [c298]Zihan Wang, Karthikeyan K, Stephen Mayhew, Dan Roth:
Extending Multilingual BERT to Low-Resource Languages. EMNLP (Findings) 2020: 2649-2656 - [c297]Krunal Shah, Nitish Gupta, Dan Roth:
What do we expect from Multiple-choice QA Systems? EMNLP (Findings) 2020: 3547-3553 - [c296]Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth:
Do Language Embeddings capture Scales? EMNLP (Findings) 2020: 4889-4896 - [c295]Xingyu Fu, Weijia Shi, Xiaodong Yu, Zian Zhao, Dan Roth:
Design Challenges in Low-resource Cross-lingual Entity Linking. EMNLP (1) 2020: 6418-6432 - [c294]Annie Louis, Dan Roth, Filip Radlinski:
"I'd rather just go to bed": Understanding Indirect Answers. EMNLP (1) 2020: 7411-7425 - [c293]Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner:
Neural Module Networks for Reasoning over Text. ICLR 2020 - [c292]Karthikeyan K, Zihan Wang, Stephen Mayhew, Dan Roth:
Cross-Lingual Ability of Multilingual BERT: An Empirical Study. ICLR 2020 - [c291]Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth:
TransOMCS: From Linguistic Graphs to Commonsense Knowledge. IJCAI 2020: 4004-4010 - [c290]Soham Dan, Hangfeng He, Dan Roth:
Understanding Spatial Relations through Multiple Modalities. LREC 2020: 2368-2372 - [c289]Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Zheng Cai, Martha Palmer, Dan Roth:
From Spatial Relations to Spatial Configurations. LREC 2020: 5855-5864 - [c288]Kaifu Wang, Qiang Ning, Dan Roth:
Learnability with Indirect Supervision Signals. NeurIPS 2020 - [i105]Zihan Wang, Karthikeyan K, Stephen Mayhew, Dan Roth:
Extending Multilingual BERT to Low-Resource Languages. CoRR abs/2004.13640 (2020) - [i104]Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth:
Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text. CoRR abs/2005.00171 (2020) - [i103]Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth:
TransOMCS: From Linguistic Graphs to Commonsense Knowledge. CoRR abs/2005.00206 (2020) - [i102]Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth:
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. CoRR abs/2005.00242 (2020) - [i101]Xingyu Fu, Weijia Shi, Zian Zhao, Xiaodong Yu, Dan Roth:
Design Challenges for Low-resource Cross-lingual Entity Linking. CoRR abs/2005.00692 (2020) - [i100]Ben Zhou, Qiang Ning, Daniel Khashabi, Dan Roth:
Temporal Common Sense Acquisition with Minimal Supervision. CoRR abs/2005.04304 (2020) - [i99]Ansel MacLaughlin, Tao Chen, Burcu Karagol Ayan, Dan Roth:
Context-Based Quotation Recommendation. CoRR abs/2005.08319 (2020) - [i98]Abhijit Mahabal, Jason Baldridge, Burcu Karagol Ayan, Vincent Perot, Dan Roth:
Text Classification with Few Examples using Controlled Generalization. CoRR abs/2005.08469 (2020) - [i97]Dan Roth:
Incidental Supervision: Moving beyond Supervised Learning. CoRR abs/2005.12339 (2020) - [i96]Hangfeng He, Mingyuan Zhang, Qiang Ning, Dan Roth:
Foreshadowing the Benefits of Incidental Supervision. CoRR abs/2006.05500 (2020) - [i95]Kaifu Wang, Qiang Ning, Dan Roth:
Learnability with Indirect Supervision Signals. CoRR abs/2006.08791 (2020) - [i94]Tatiana Tsygankova, Francesca Marini, Stephen Mayhew, Dan Roth:
Building Low-Resource NER Models Using Non-Speaker Annotation. CoRR abs/2006.09627 (2020) - [i93]Daniel Deutsch, Dan Roth:
SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics. CoRR abs/2007.05374 (2020) - [i92]Soham Dan, Hangfeng He, Dan Roth:
Understanding Spatial Relations through Multiple Modalities. CoRR abs/2007.09551 (2020) - [i91]Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Jon Z. Cai, Martha Palmer, Dan Roth:
From Spatial Relations to Spatial Configurations. CoRR abs/2007.09557 (2020) - [i90]Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H. Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Andrew Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov:
Task-Oriented Dialogue as Dataflow Synthesis. CoRR abs/2009.11423 (2020) - [i89]Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier:
Visual Pivoting for (Unsupervised) Entity Alignment. CoRR abs/2009.13603 (2020) - [i88]Daniel Deutsch, Tania Bedrax-Weiss, Dan Roth:
Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary. CoRR abs/2010.00490 (2020) - [i87]Zi Lin, Jeremiah Zhe Liu, Zi Yang, Nan Hua, Dan Roth:
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior. CoRR abs/2010.01791 (2020) - [i86]Annie Louis, Dan Roth, Filip Radlinski:
"I'd rather just go to bed": Understanding Indirect Answers. CoRR abs/2010.03450 (2020) - [i85]Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth:
Do Language Embeddings Capture Scales? CoRR abs/2010.05345 (2020) - [i84]Muhao Chen, Hongming Zhang, Haoyu Wang, Dan Roth:
"What Are You Trying to Do?" Semantic Typing of Event Processes. CoRR abs/2010.06724 (2020) - [i83]Haoyu Wang, Muhao Chen, Hongming Zhang, Dan Roth:
Joint Constrained Learning for Event-Event Relation Extraction. CoRR abs/2010.06727 (2020) - [i82]Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, Dan Roth:
Analogous Process Structure Induction for Sub-event Sequence Prediction. CoRR abs/2010.08525 (2020) - [i81]Daniel Deutsch, Dan Roth:
Understanding the Extent to which Summarization Evaluation Metrics Measure the Information Quality of Summaries. CoRR abs/2010.12495 (2020) - [i80]Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, Dan Roth:
Temporal Reasoning on Implicit Events from Distant Supervision. CoRR abs/2010.12753 (2020) - [i79]Xiaodong Yu, Wenpeng Yin, Dan Roth:
Paired Representation Learning for Event and Entity Coreference. CoRR abs/2010.12808 (2020) - [i78]Krunal Shah, Nitish Gupta, Dan Roth:
What do we expect from Multiple-choice QA Systems? CoRR abs/2011.10647 (2020) - [i77]Hongming Zhang, Yintong Huo, Xinran Zhao, Yangqiu Song, Dan Roth:
Learning Contextual Causality from Time-consecutive Images. CoRR abs/2012.07138 (2020) - [i76]Hongming Zhang, Haoyu Wang, Dan Roth:
Unsupervised Label-aware Event Trigger and Argument Classification. CoRR abs/2012.15243 (2020) - [i75]Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, Iryna Gurevych:
Coreference Reasoning in Machine Reading Comprehension. CoRR abs/2012.15573 (2020)
2010 – 2019
- 2019
- [j54]Yangqiu Song, Shyam Upadhyay, Haoruo Peng, Stephen Mayhew, Dan Roth:
Toward any-language zero-shot topic classification of textual documents. Artif. Intell. 274: 133-150 (2019) - [j53]Mrinmaya Sachan, Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing:
Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks. Comput. Linguistics 45(4): 627-665 (2019) - [j52]Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan:
Planning with actively eliciting preferences. Knowl. Based Syst. 165: 219-227 (2019) - [j51]Alla Rozovskaya, Dan Roth:
Grammar Error Correction in Morphologically-Rich Languages: The Case of Russian. Trans. Assoc. Comput. Linguistics 7: 1-17 (2019) - [c287]Sihao Chen, Daniel Khashabi, Chris Callison-Burch, Dan Roth:
PerspectroScope: A Window to the World of Diverse Perspectives. ACL (3) 2019: 129-134 - [c286]Yi Zhang, Zachary G. Ives, Dan Roth:
Evidence-based Trustworthiness. ACL (1) 2019: 413-423 - [c285]Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth:
How Large Are Lions? Inducing Distributions over Quantitative Attributes. ACL (1) 2019: 3973-3983 - [c284]Tatiana Tsygankova, Stephen Mayhew, Dan Roth:
BSNLP2019 Shared Task Submission: Multisource Neural NER Transfer. BSNLP@ACL 2019: 75-82 - [c283]Daniel Deutsch, Shyam Upadhyay, Dan Roth:
A General-Purpose Algorithm for Constrained Sequential Inference. CoNLL 2019: 482-492 - [c282]Haoruo Peng, Qiang Ning, Dan Roth:
KnowSemLM: A Knowledge Infused Semantic Language Model. CoNLL 2019: 550-562 - [c281]Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth:
Named Entity Recognition with Partially Annotated Training Data. CoNLL 2019: 645-655 - [c280]Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, David A. McAllester, Dan Roth:
Evidence Sentence Extraction for Machine Reading Comprehension. CoNLL 2019: 696-707 - [c279]Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth:
"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding. EMNLP/IJCNLP (1) 2019: 3361-3367 - [c278]Daniel Deutsch, Dan Roth:
Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization. EMNLP/IJCNLP (1) 2019: 3718-3727 - [c277]Wenpeng Yin, Jamaal Hay, Dan Roth:
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. EMNLP/IJCNLP (1) 2019: 3912-3921 - [c276]Qiang Ning, Sanjay Subramanian, Dan Roth:
An Improved Neural Baseline for Temporal Relation Extraction. EMNLP/IJCNLP (1) 2019: 6202-6208 - [c275]Stephen Mayhew, Tatiana Tsygankova, Dan Roth:
ner and pos when nothing is capitalized. EMNLP/IJCNLP (1) 2019: 6255-6260 - [c274]Chao Ma, F. A. Rezaur Rahman Chowdhury, Aryan Deshwal, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth:
Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning. IJCAI 2019: 5130-5138 - [c273]Aryan Deshwal, Janardhan Rao Doppa, Dan Roth:
Learning and Inference for Structured Prediction: A Unifying Perspective. IJCAI 2019: 6291-6299 - [c272]Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat, Dan Roth:
DiAd: Domain Adaptation for Learning at Scale. LAK 2019: 185-194 - [c271]Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth:
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. NAACL-HLT (1) 2019: 542-557 - [c270]Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth:
Partial Or Complete, That's The Question. NAACL-HLT (1) 2019: 2190-2200 - [c269]Abhijit Mahabal, Jason Baldridge, Burcu Karagol Ayan, Vincent Perot, Dan Roth:
Text Classification with Few Examples using Controlled Generalization. NAACL-HLT (1) 2019: 3158-3167 - [c268]Sanjay Subramanian, Dan Roth:
Improving Generalization in Coreference Resolution via Adversarial Training. *SEM@NAACL-HLT 2019: 192-197 - [i74]Daniel Khashabi, Erfan Sadeqi Azer, Tushar Khot, Ashish Sabharwal, Dan Roth:
On the Capabilities and Limitations of Reasoning for Natural Language Understanding. CoRR abs/1901.02522 (2019) - [i73]Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, Dan Roth, David A. McAllester:
Evidence Sentence Extraction for Machine Reading Comprehension. CoRR abs/1902.08852 (2019) - [i72]Stephen Mayhew, Tatiana Tsygankova, Dan Roth:
ner and pos when nothing is capitalized. CoRR abs/1903.11222 (2019) - [i71]Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth:
How Large Are Lions? Inducing Distributions over Quantitative Attributes. CoRR abs/1906.01327 (2019) - [i70]Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth:
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. CoRR abs/1906.03538 (2019) - [i69]Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth:
Question Answering as Global Reasoning over Semantic Abstractions. CoRR abs/1906.03672 (2019) - [i68]Sihao Chen, Daniel Khashabi, Chris Callison-Burch, Dan Roth:
PerspectroScope: A Window to the World of Diverse Perspectives. CoRR abs/1906.04761 (2019) - [i67]Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth:
Partial Or Complete, That's The Question. CoRR abs/1906.04937 (2019) - [i66]Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth:
CogCompTime: A Tool for Understanding Time in Natural Language Text. CoRR abs/1906.04940 (2019) - [i65]Qiang Ning, Zhili Feng, Hao Wu, Dan Roth:
Joint Reasoning for Temporal and Causal Relations. CoRR abs/1906.04941 (2019) - [i64]Qiang Ning, Zhili Feng, Dan Roth:
A Structured Learning Approach to Temporal Relation Extraction. CoRR abs/1906.04943 (2019) - [i63]Parisa Kordjamshidi, Dan Roth, Kristian Kersting:
Declarative Learning-Based Programming as an Interface to AI Systems. CoRR abs/1906.07809 (2019) - [i62]Ben Zhou, Daniel Khashabi, Chen-Tse Tsai, Dan Roth:
Zero-Shot Open Entity Typing as Type-Compatible Grounding. CoRR abs/1907.03228 (2019) - [i61]Haoruo Peng, Daniel Khashabi, Dan Roth:
Solving Hard Coreference Problems. CoRR abs/1907.05524 (2019) - [i60]Sanjay Subramanian, Dan Roth:
Improving Generalization in Coreference Resolution via Adversarial Training. CoRR abs/1908.04728 (2019) - [i59]Wenpeng Yin, Jamaal Hay, Dan Roth:
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. CoRR abs/1909.00161 (2019) - [i58]Hangfeng He, Qiang Ning, Dan Roth:
Incidental Supervision from Question-Answering Signals. CoRR abs/1909.00333 (2019) - [i57]Qiang Ning, Sanjay Subramanian, Dan Roth:
An Improved Neural Baseline for Temporal Relation Extraction. CoRR abs/1909.00429 (2019) - [i56]Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth:
"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding. CoRR abs/1909.03065 (2019) - [i55]Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth:
Named Entity Recognition with Partially Annotated Training Data. CoRR abs/1909.09270 (2019) - [i54]Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal, Dan Roth:
Not All Claims are Created Equal: Choosing the Right Approach to Assess Your Hypotheses. CoRR abs/1911.03850 (2019) - [i53]Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner:
Neural Module Networks for Reasoning over Text. CoRR abs/1912.04971 (2019) - [i52]Stephen Mayhew, Nitish Gupta, Dan Roth:
Robust Named Entity Recognition with Truecasing Pretraining. CoRR abs/1912.07095 (2019) - [i51]Karthikeyan K, Zihan Wang, Stephen Mayhew, Dan Roth:
Cross-Lingual Ability of Multilingual BERT: An Empirical Study. CoRR abs/1912.07840 (2019) - [i50]Ido Dagan, Iryna Gurevych, Dan Roth, Amanda Stent:
Multi-Document Information Consolidation (Dagstuhl Seminar 19182). Dagstuhl Reports 9(4): 124-140 (2019) - 2018
- [j50]Chen-Tse Tsai, Stephen Mayhew, Yangqiu Song, Mark Sammons, Dan Roth:
Illinois CCG LoReHLT 2016 named entity recognition and situation frame systems. Mach. Transl. 32(1-2): 91-103 (2018) - [j49]Subhro Roy, Dan Roth:
Mapping to Declarative Knowledge for Word Problem Solving. Trans. Assoc. Comput. Linguistics 6: 159-172 (2018) - [c267]Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth:
Question Answering as Global Reasoning Over Semantic Abstractions. AAAI 2018: 1905-1914 - [c266]Chen-Tse Tsai, Dan Roth:
Learning Better Name Translation for Cross-Lingual Wikification. AAAI 2018: 5528-5536 - [c265]Avirup Sil, Heng Ji, Dan Roth, Silviu-Petru Cucerzan:
Multi-lingual Entity Discovery and Linking. ACL (5) 2018: 22-29 - [c264]Stephen Mayhew, Dan Roth:
TALEN: Tool for Annotation of Low-resource ENtities. ACL (4) 2018: 80-86 - [c263]Wenpeng Yin, Dan Roth, Hinrich Schütze:
End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions. ACL (2) 2018: 540-545 - [c262]Qiang Ning, Hao Wu, Dan Roth:
A Multi-Axis Annotation Scheme for Event Temporal Relations. ACL (1) 2018: 1318-1328 - [c261]Daniel Deutsch, John Hewitt, Dan Roth:
A Distributional and Orthographic Aggregation Model for English Derivational Morphology. ACL (1) 2018: 1938-1947 - [c260]Qiang Ning, Zhili Feng, Hao Wu, Dan Roth:
Joint Reasoning for Temporal and Causal Relations. ACL (1) 2018: 2278-2288 - [c259]Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan:
Preference-Guided Planning: An Active Elicitation Approach. AAMAS 2018: 1921-1923 - [c258]Lori Moon, Christos Christodoulopoulos, Cynthia Fisher, Sandra Franco, Dan Roth:
Gold Standard Annotations for Preposition and Verb Sense with Semantic Role Labels in Adult-Child Interactions. COLING 2018: 3004-3014 - [c257]Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth:
CogCompTime: A Tool for Understanding Time in Natural Language. EMNLP (Demonstration) 2018: 72-77 - [c256]Wenpeng Yin, Dan Roth:
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification. EMNLP 2018: 105-114 - [c255]Shyam Upadhyay, Jordan Kodner, Dan Roth:
Bootstrapping Transliteration with Guided Discovery for Low-Resource Languages. EMNLP 2018: 501-511 - [c254]Ben Zhou, Daniel Khashabi, Chen-Tse Tsai, Dan Roth:
Zero-Shot Open Entity Typing as Type-Compatible Grounding. EMNLP 2018: 2065-2076 - [c253]Shyam Upadhyay, Nitish Gupta, Dan Roth:
Joint Multilingual Supervision for Cross-lingual Entity Linking. EMNLP 2018: 2486-2495 - [c252]Xiaodong Yu, Stephen Mayhew, Mark Sammons, Dan Roth:
On the Strength of Character Language Models for Multilingual Named Entity Recognition. EMNLP 2018: 3073-3077 - [c251]Parisa Kordjamshidi, Dan Roth, Kristian Kersting:
Systems AI: A Declarative Learning Based Programming Perspective. IJCAI 2018: 5464-5471 - [c250]Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev-Arie Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth:
CogCompNLP: Your Swiss Army Knife for NLP. LREC 2018 - [c249]Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, Shyam Upadhyay, Dan Roth:
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences. NAACL-HLT 2018: 252-262 - [c248]Shyam Upadhyay, Yogarshi Vyas, Marine Carpuat, Dan Roth:
Robust Cross-Lingual Hypernymy Detection Using Dependency Context. NAACL-HLT 2018: 607-618 - [c247]Snigdha Chaturvedi, Shashank Srivastava, Dan Roth:
Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes. NAACL-HLT (2) 2018: 673-678 - [c246]Qiang Ning, Hao Wu, Haoruo Peng, Dan Roth:
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource. NAACL-HLT 2018: 841-851 - [c245]Mrinmaya Sachan, Kumar Avinava Dubey, Tom M. Mitchell, Dan Roth, Eric P. Xing:
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems. NeurIPS 2018: 140-151 - [c244]Qiang Ning, Zhongzhi Yu, Chuchu Fan, Dan Roth:
Exploiting Partially Annotated Data in Temporal Relation Extraction. *SEM@NAACL-HLT 2018: 148-153 - [c243]Wenpeng Yin, Dan Roth:
Term Definitions Help Hypernymy Detection. *SEM@NAACL-HLT 2018: 203-213 - [c242]Abhijit Mahabal, Dan Roth, Sid Mittal:
Robust Handling of Polysemy via Sparse Representations. *SEM@NAACL-HLT 2018: 265-275 - [i49]Shyam Upadhyay, Yogarshi Vyas, Marine Carpuat, Dan Roth:
Robust Cross-lingual Hypernymy Detection using Dependency Context. CoRR abs/1803.11291 (2018) - [i48]Qiang Ning, Hao Wu, Haoruo Peng, Dan Roth:
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource. CoRR abs/1804.06020 (2018) - [i47]Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan:
Preference-Guided Planning: An Active Elicitation Approach. CoRR abs/1804.07404 (2018) - [i46]Qiang Ning, Hao Wu, Dan Roth:
A Multi-Axis Annotation Scheme for Event Temporal Relations. CoRR abs/1804.07828 (2018) - [i45]Qiang Ning, Zhongzhi Yu, Chuchu Fan, Dan Roth:
Exploiting Partially Annotated Data for Temporal Relation Extraction. CoRR abs/1804.08420 (2018) - [i44]Wenpeng Yin, Dan Roth, Hinrich Schütze:
End-Task Oriented Textual Entailment via Deep Exploring Inter-Sentence Interactions. CoRR abs/1804.08813 (2018) - [i43]Abhijit Mahabal, Dan Roth, Sid Mittal:
Robust Handling of Polysemy via Sparse Representations. CoRR abs/1805.07398 (2018) - [i42]Wenpeng Yin, Dan Roth:
Term Definitions Help Hypernymy Detection. CoRR abs/1806.04532 (2018) - [i41]Wenpeng Yin, Dan Roth:
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification. CoRR abs/1808.03465 (2018) - [i40]Xiaodong Yu, Stephen Mayhew, Mark Sammons, Dan Roth:
On the Strength of Character Language Models for Multilingual Named Entity Recognition. CoRR abs/1809.05157 (2018) - [i39]Shyam Upadhyay, Nitish Gupta, Dan Roth:
Joint Multilingual Supervision for Cross-lingual Entity Linking. CoRR abs/1809.07657 (2018) - [i38]Shyam Upadhyay, Jordan Kodner, Dan Roth:
Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages. CoRR abs/1809.07807 (2018) - [i37]Oshin Agarwal, Sanjay Subramanian, Ani Nenkova, Dan Roth:
Named Person Coreference in English News. CoRR abs/1810.11476 (2018) - [i36]Mrinmaya Sachan, Kumar Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing:
Discourse in Multimedia: A Case Study in Information Extraction. CoRR abs/1811.05546 (2018) - 2017
- [j48]Alla Rozovskaya, Dan Roth, Mark Sammons:
Adapting to Learner Errors with Minimal Supervision. Comput. Linguistics 43(4) (2017) - [c241]Mayukh Das, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan:
Active Preference Elicitation for Planning. AAAI Workshops 2017 - [c240]Subhro Roy, Dan Roth:
Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving. AAAI 2017: 3082-3088 - [c239]Dan Roth:
Incidental Supervision: Moving beyond Supervised Learning. AAAI 2017: 4885-4890 - [c238]Anjali Narayan-Chen, Colin Graber, Mayukh Das, Md. Rakibul Islam, Soham Dan, Sriraam Natarajan, Janardhan Rao Doppa, Julia Hockenmaier, Martha Palmer, Dan Roth:
Towards Problem Solving Agents that Communicate and Learn. RoboNLP@ACL 2017: 95-103 - [c237]Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth:
Learning What is Essential in Questions. CoNLL 2017: 80-89 - [c236]Haoruo Peng, Snigdha Chaturvedi, Dan Roth:
A Joint Model for Semantic Sequences: Frames, Entities, Sentiments. CoNLL 2017: 173-183 - [c235]Rachel Wities, Vered Shwartz, Gabriel Stanovsky, Meni Adler, Ori Shapira, Shyam Upadhyay, Dan Roth, Eugenio Martínez-Cámara, Iryna Gurevych, Ido Dagan:
A Consolidated Open Knowledge Representation for Multiple Texts. LSDSem@EACL 2017: 12-24 - [c234]Qiang Ning, Zhili Feng, Dan Roth:
A Structured Learning Approach to Temporal Relation Extraction. EMNLP 2017: 1027-1037 - [c233]Snigdha Chaturvedi, Haoruo Peng, Dan Roth:
Story Comprehension for Predicting What Happens Next. EMNLP 2017: 1603-1614 - [c232]Stephen Mayhew, Chen-Tse Tsai, Dan Roth:
Cheap Translation for Cross-Lingual Named Entity Recognition. EMNLP 2017: 2536-2545 - [c231]Nitish Gupta, Sameer Singh, Dan Roth:
Entity Linking via Joint Encoding of Types, Descriptions, and Context. EMNLP 2017: 2681-2690 - [i35]Mohamed Al-Badrashiny, Jason Bolton, Arun Tejasvi Chaganty, Kevin Clark, Craig Harman, Lifu Huang, Matthew Lamm, Jinhao Lei, Di Lu, Xiaoman Pan, Ashwin Paranjape, Ellie Pavlick, Haoruo Peng, Peng Qi, Pushpendre Rastogi, Abigail See, Kai Sun, Max Thomas, Chen-Tse Tsai, Hao Wu, Boliang Zhang, Chris Callison-Burch, Claire Cardie, Heng Ji, Christopher D. Manning, Smaranda Muresan, Owen Rambow, Dan Roth, Mark Sammons, Benjamin Van Durme:
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. TAC 2017 - [i34]Chase Duncan, Liang-Wei Chan, Haoruo Peng, Hao Wu, Shyam Upadhyay, Nitish Gupta, Chen-Tse Tsai, Mark Sammons, Dan Roth:
UI CCG TAC-KBP2017 Submissions: Entity Discovery and Linking, and Event Nugget Detection and Co-reference. TAC 2017 - [i33]Yangqiu Song, Dan Roth:
Machine Learning with World Knowledge: The Position and Survey. CoRR abs/1705.02908 (2017) - [i32]Parisa Kordjamshidi, Sameer Singh, Daniel Khashabi, Christos Christodoulopoulos, Mark Sammons, Saurabh Sinha, Dan Roth:
Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks. CoRR abs/1707.07794 (2017) - [i31]Subhro Roy, Dan Roth:
Mapping to Declarative Knowledge for Word Problem Solving. CoRR abs/1712.09391 (2017) - 2016
- [j47]Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein, David L. Buckeridge, Cornelia Caragea, Kevin M. Carter, Adnan Darwiche, Blaz Fortuna, Yannick Francillette, Sébastien Gaboury, C. Lee Giles, Marko Grobelnik, Estevam R. Hruschka Jr., Jeffrey O. Kephart, Parisa Kordjamshidi, Viliam Lisý, Daniele Magazzeni, João Marques-Silva, Pierre Marquis, David R. Martinez, Marek P. Michalowski, Arash Shaban-Nejad, Zeinab Noorian, Enrico Pontelli, Alex Rogers, Stephanie Rosenthal, Dan Roth, Arunesh Sinha, William W. Streilein, Sylvie Thiébaux, Tran Cao Son, Byron C. Wallace, Toby Walsh, Michael Witbrock, Jie Zhang:
Reports of the 2016 AAAI Workshop Program. AI Mag. 37(3): 99-108 (2016) - [j46]Angel Conde, Mikel Larrañaga, Ana Arruarte, Jon A. Elorriaga, Dan Roth:
litewi: A combined term extraction and entity linking method for eliciting educational ontologies from textbooks. J. Assoc. Inf. Sci. Technol. 67(2): 380-399 (2016) - [j45]Chen-Tse Tsai, Dan Roth:
Concept Grounding to Multiple Knowledge Bases via Indirect Supervision. Trans. Assoc. Comput. Linguistics 4: 141-154 (2016) - [j44]Chenguang Wang, Yangqiu Song, Dan Roth, Ming Zhang, Jiawei Han:
World Knowledge as Indirect Supervision for Document Clustering. ACM Trans. Knowl. Discov. Data 11(2): 13:1-13:36 (2016) - [c230]Naveen Arivazhagan, Christos Christodoulopoulos, Dan Roth:
Labeling the Semantic Roles of Commas. AAAI 2016: 2885-2891 - [c229]Shaoshi Ling, Yangqiu Song, Dan Roth:
Word Embeddings with Limited Memory. ACL (2) 2016 - [c228]Haoruo Peng, Dan Roth:
Two Discourse Driven Language Models for Semantics. ACL (1) 2016 - [c227]Alla Rozovskaya, Dan Roth:
Grammatical Error Correction: Machine Translation and Classifiers. ACL (1) 2016 - [c226]Shyam Upadhyay, Manaal Faruqui, Chris Dyer, Dan Roth:
Cross-lingual Models of Word Embeddings: An Empirical Comparison. ACL (1) 2016 - [c225]Shyam Upadhyay, Christos Christodoulopoulos, Dan Roth:
"Making the News": Identifying Noteworthy Events in News Articles. EVENTS@HLT-NAACL 2016: 1-7 - [c224]Chen-Tse Tsai, Dan Roth:
Illinois Cross-Lingual Wikifier: Grounding Entities in Many Languages to the English Wikipedia. COLING (Demos) 2016: 146-150 - [c223]Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos, Dan Roth:
Revisiting the Evaluation for Cross Document Event Coreference. COLING 2016: 1949-1958 - [c222]Parisa Kordjamshidi, Daniel Khashabi, Christos Christodoulopoulos, Bhargav Mangipudi, Sameer Singh, Dan Roth:
Better call Saul: Flexible Programming for Learning and Inference in NLP. COLING 2016: 3030-3040 - [c221]Chen-Tse Tsai, Stephen Mayhew, Dan Roth:
Cross-Lingual Named Entity Recognition via Wikification. CoNLL 2016: 219-228 - [c220]Haoruo Peng, Yangqiu Song, Dan Roth:
Event Detection and Co-reference with Minimal Supervision. EMNLP 2016: 392-402 - [c219]Subhro Roy, Shyam Upadhyay, Dan Roth:
Equation Parsing : Mapping Sentences to Grounded Equations. EMNLP 2016: 1088-1097 - [c218]Narender Gupta, Aman Sawhney, Dan Roth:
Will I Get in? Modeling the Graduate Admission Process for American Universities. ICDM Workshops 2016: 631-638 - [c217]Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Peter Clark, Oren Etzioni, Dan Roth:
Question Answering via Integer Programming over Semi-Structured Knowledge. IJCAI 2016: 1145-1152 - [c216]Yangqiu Song, Shyam Upadhyay, Haoruo Peng, Dan Roth:
Cross-Lingual Dataless Classification for Many Languages. IJCAI 2016: 2901-2907 - [c215]Mark Sammons, Christos Christodoulopoulos, Parisa Kordjamshidi, Daniel Khashabi, Vivek Srikumar, Dan Roth:
EDISON: Feature Extraction for NLP, Simplified. LREC 2016 - [c214]Subhro Roy, Dan Roth:
Illinois Math Solver: Math Reasoning on the Web. HLT-NAACL Demos 2016: 52-56 - [c213]Chen-Tse Tsai, Dan Roth:
Cross-lingual Wikification Using Multilingual Embeddings. HLT-NAACL 2016: 589-598 - [c212]Pranav Garg, Daniel Neider, P. Madhusudan, Dan Roth:
Learning invariants using decision trees and implication counterexamples. POPL 2016: 499-512 - [c211]Yang Li, Shulong Tan, Huan Sun, Jiawei Han, Dan Roth, Xifeng Yan:
Entity Disambiguation with Linkless Knowledge Bases. WWW 2016: 1261-1270 - [p4]Nick Rizzolo, Dan Roth:
Integer Linear Programming for Coreference Resolution. Anaphora Resolution - Algorithms, Resources, and Applications 2016: 315-343 - [i30]Chen-Tse Tsai, Stephen Mayhew, Haoruo Peng, Mark Sammons, Bhargav Mangipudi, Pavankumar Reddy, Dan Roth:
Illinois CCG Entity Discovery and Linking, Event Nugget Detection and Co-reference, and Slot Filler Validation Systems for TAC 2016. TAC 2016 - [i29]Shyam Upadhyay, Manaal Faruqui, Chris Dyer, Dan Roth:
Cross-lingual Models of Word Embeddings: An Empirical Comparison. CoRR abs/1604.00425 (2016) - [i28]Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Peter Clark, Oren Etzioni, Dan Roth:
Question Answering via Integer Programming over Semi-Structured Knowledge. CoRR abs/1604.06076 (2016) - [i27]Haoruo Peng, Dan Roth:
Two Discourse Driven Language Models for Semantics. CoRR abs/1606.05679 (2016) - [i26]Chenguang Wang, Yangqiu Song, Dan Roth, Ming Zhang, Jiawei Han:
World Knowledge as Indirect Supervision for Document Clustering. CoRR abs/1608.00104 (2016) - [i25]Subhro Roy, Dan Roth:
Solving General Arithmetic Word Problems. CoRR abs/1608.01413 (2016) - [i24]Stephen Mayhew, Christos Christodoulopoulos, Dan Roth:
Transliteration in Any Language with Surrogate Languages. CoRR abs/1609.04325 (2016) - [i23]Subhro Roy, Shyam Upadhyay, Dan Roth:
Equation Parsing: Mapping Sentences to Grounded Equations. CoRR abs/1609.08824 (2016) - [i22]Yangqiu Song, Stephen Mayhew, Dan Roth:
Cross-lingual Dataless Classification for Languages with Small Wikipedia Presence. CoRR abs/1611.04122 (2016) - [i21]Subhro Roy, Dan Roth:
Unit Dependency Graph and its Application to Arithmetic Word Problem Solving. CoRR abs/1612.00969 (2016) - 2015
- [j43]Parisa Kordjamshidi, Dan Roth, Marie-Francine Moens:
Structured learning for spatial information extraction from biomedical text: bacteria biotopes. BMC Bioinform. 16: 129:1-129:15 (2015) - [j42]V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth, Peter Pirolli:
Overcoming bias to learn about controversial topics. J. Assoc. Inf. Sci. Technol. 66(8): 1655-1672 (2015) - [j41]Subhro Roy, Tim Vieira, Dan Roth:
Reasoning about Quantities in Natural Language. Trans. Assoc. Comput. Linguistics 3: 1-13 (2015) - [c210]Kai-Wei Chang, Shyam Upadhyay, Gourab Kundu, Dan Roth:
Structural Learning with Amortized Inference. AAAI 2015: 2525-2531 - [c209]Parisa Kordjamshidi, Dan Roth, Hao Wu:
Saul: Towards Declarative Learning Based Programming. AAAI Fall Symposia 2015: 12- - [c208]Haoruo Peng, Kai-Wei Chang, Dan Roth:
A Joint Framework for Coreference Resolution and Mention Head Detection. CoNLL 2015: 12-21 - [c207]Yangqiu Song, Haoruo Peng, Parisa Kordjamshidi, Mark Sammons, Dan Roth:
Improving a Pipeline Architecture for Shallow Discourse Parsing. CoNLL Shared Task 2015: 78-83 - [c206]Wei Lu, Dan Roth:
Joint Mention Extraction and Classification with Mention Hypergraphs. EMNLP 2015: 857-867 - [c205]Subhro Roy, Dan Roth:
Solving General Arithmetic Word Problems. EMNLP 2015: 1743-1752 - [c204]Ching-Pei Lee, Dan Roth:
Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM. ICML 2015: 987-996 - [c203]Parisa Kordjamshidi, Dan Roth, Hao Wu:
Saul: Towards Declarative Learning Based Programming. IJCAI 2015: 1844-1851 - [c202]Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han, Heng Ji, Ming Zhang:
Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations. IJCAI 2015: 3882-3889 - [c201]Chenguang Wang, Yangqiu Song, Ahmed El-Kishky, Dan Roth, Ming Zhang, Jiawei Han:
Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks. KDD 2015: 1215-1224 - [c200]Honglei Zhuang, Aditya G. Parameswaran, Dan Roth, Jiawei Han:
Debiasing Crowdsourced Batches. KDD 2015: 1593-1602 - [c199]Haoruo Peng, Daniel Khashabi, Dan Roth:
Solving Hard Coreference Problems. HLT-NAACL 2015: 809-819 - [c198]Yangqiu Song, Dan Roth:
Unsupervised Sparse Vector Densification for Short Text Similarity. HLT-NAACL 2015: 1275-1280 - [c197]Stephen Mayhew, Dan Roth:
Visualization of Trustworthiness Graphs. WWW (Companion Volume) 2015: 959-964 - [i20]Mark Sammons, Haoruo Peng, Yangqiu Song, Shyam Upadhyay, Chen-Tse Tsai, Pavankumar Reddy, Subhro Roy, Dan Roth:
Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems. TAC 2015 - [i19]Ching-Pei Lee, Kai-Wei Chang, Shyam Upadhyay, Dan Roth:
Distributed Training of Structured SVM. CoRR abs/1506.02620 (2015) - [i18]Kai-Wei Chang, Shyam Upadhyay, Ming-Wei Chang, Vivek Srikumar, Dan Roth:
IllinoisSL: A JAVA Library for Structured Prediction. CoRR abs/1509.07179 (2015) - 2014
- [j40]Samuel J. Rivera, Barbara S. Minsker, Daniel B. Work, Dan Roth:
A text mining framework for advancing sustainability indicators. Environ. Model. Softw. 62: 128-138 (2014) - [j39]Elisabetta Fersini, Enza Messina, Giovanni Felici, Dan Roth:
Soft-constrained inference for Named Entity Recognition. Inf. Process. Manag. 50(5): 807-819 (2014) - [j38]Dong Wang, Md. Tanvir Al Amin, Tarek F. Abdelzaher, Dan Roth, Clare R. Voss, Lance M. Kaplan, Stephen Tratz, Jamal Laoudi, Douglas M. Briesch:
Provenance-Assisted Classification in Social Networks. IEEE J. Sel. Top. Signal Process. 8(4): 624-637 (2014) - [j37]Antoine Bordes, Léon Bottou, Ronan Collobert, Dan Roth, Jason Weston, Luke Zettlemoyer:
Introduction to the special issue on learning semantics. Mach. Learn. 94(2): 127-131 (2014) - [j36]Dan Goldwasser, Dan Roth:
Learning from natural instructions. Mach. Learn. 94(2): 205-232 (2014) - [j35]Alla Rozovskaya, Dan Roth:
Building a State-of-the-Art Grammatical Error Correction System. Trans. Assoc. Comput. Linguistics 2: 419-434 (2014) - [c196]Yangqiu Song, Dan Roth:
On Dataless Hierarchical Text Classification. AAAI 2014: 1579-1585 - [c195]Dan Roth, Heng Ji, Ming-Wei Chang, Taylor Cassidy:
Wikification and Beyond: The Challenges of Entity and Concept Grounding. ACL (Tutorial Abstracts) 2014: 7 - [c194]Prateek Jindal, Dan Roth, Carl A. Gunter:
Joint inference for end-to-end coreference resolution for clinical notes. BCB 2014: 192-201 - [c193]Prateek Jindal, Carl A. Gunter, Dan Roth:
Detecting privacy-sensitive events in medical text. BCB 2014: 617-620 - [c192]Alla Rozovskaya, Kai-Wei Chang, Mark Sammons, Dan Roth, Nizar Habash:
The Illinois-Columbia System in the CoNLL-2014 Shared Task. CoNLL Shared Task 2014: 34-42 - [c191]Alla Rozovskaya, Dan Roth, Vivek Srikumar:
Correcting Grammatical Verb Errors. EACL 2014: 358-367 - [c190]Rajhans Samdani, Kai-Wei Chang, Dan Roth:
A Discriminative Latent Variable Model for Online Clustering. ICML 2014: 1-9 - [c189]Hao Wu, Zhiye Fei, Aaron Dai, Mark Sammons, Dan Roth, Stephen Mayhew:
ILLINOISCLOUDNLP: Text Analytics Services in the Cloud. LREC 2014: 14-21 - 2013
- [b1]Ido Dagan, Dan Roth, Mark Sammons, Fabio Massimo Zanzotto:
Recognizing Textual Entailment: Models and Applications. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2013, ISBN 9781598298345, pp. 1-220 - [j34]Prateek Jindal, Dan Roth:
Using domain knowledge and domain-inspired discourse model for coreference resolution for clinical narratives. J. Am. Medical Informatics Assoc. 20(2): 356-362 (2013) - [j33]Prateek Jindal, Dan Roth:
Extraction of events and temporal expressions from clinical narratives. J. Biomed. Informatics 46(6): S13-S19 (2013) - [j32]Vivek Srikumar, Dan Roth:
Modeling Semantic Relations Expressed by Prepositions. Trans. Assoc. Comput. Linguistics 1: 231-242 (2013) - [c188]Dan Goldwasser, Dan Roth:
Leveraging Domain-Independent Information in Semantic Parsing. ACL (2) 2013: 462-466 - [c187]Gourab Kundu, Vivek Srikumar, Dan Roth:
Margin-based Decomposed Amortized Inference. ACL (1) 2013: 905-913 - [c186]Dan Roth:
Computational Frameworks for Supporting Textual Inference. JSSP 2013: 13 - [c185]Dan Roth:
Computational frameworks for semantic analysis and wikification: keynote abstract. ESAIR 2013: 1-2 - [c184]Chen-Tse Tsai, Gourab Kundu, Dan Roth:
Concept-based analysis of scientific literature. CIKM 2013: 1733-1738 - [c183]Alla Rozovskaya, Kai-Wei Chang, Mark Sammons, Dan Roth:
The University of Illinois System in the CoNLL-2013 Shared Task. CoNLL Shared Task 2013: 13-19 - [c182]Kai-Wei Chang, Rajhans Samdani, Dan Roth:
A Constrained Latent Variable Model for Coreference Resolution. EMNLP 2013: 601-612 - [c181]Alla Rozovskaya, Dan Roth:
Joint Learning and Inference for Grammatical Error Correction. EMNLP 2013: 791-802 - [c180]Xiao Cheng, Dan Roth:
Relational Inference for Wikification. EMNLP 2013: 1787-1796 - [c179]Prateek Jindal, Dan Roth:
Using Soft Constraints in Joint Inference for Clinical Concept Recognition. EMNLP 2013: 1808-1814 - [c178]Prateek Jindal, Dan Roth:
End-to-End Coreference Resolution for Clinical Narratives. IJCAI 2013: 2106-2112 - [c177]Yang Li, Chi Wang, Fangqiu Han, Jiawei Han, Dan Roth, Xifeng Yan:
Mining evidences for named entity disambiguation. KDD 2013: 1070-1078 - [c176]Xiaolong Wang, Chengxiang Zhai, Dan Roth:
Understanding evolution of research themes: a probabilistic generative model for citations. KDD 2013: 1115-1123 - [c175]Kai-Wei Chang, Vivek Srikumar, Dan Roth:
Multi-core Structural SVM Training. ECML/PKDD (2) 2013: 401-416 - [c174]Jeff Pasternack, Dan Roth:
Latent credibility analysis. WWW 2013: 1009-1020 - [p3]Michael Connor, Cynthia Fisher, Dan Roth:
Starting from Scratch in Semantic Role Labeling: Early Indirect Supervision. Cognitive Aspects of Computational Language Acquisition 2013: 257-296 - [i17]Xiao Cheng, Bingling Chen, Rajhans Samdani, Kai-Wei Chang, Zhiye Fei, Mark Sammons, John Wieting, Subhro Roy, Chizheng Wang, Dan Roth:
Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems. TAC 2013 - [i16]Dian Yu, Haibo Li, Taylor Cassidy, Qi Li, Hongzhao Huang, Zheng Chen, Heng Ji, Yongzhong Zhang, Dan Roth:
RPI-BLENDER TAC-KBP2013 Knowledge Base Population System. TAC 2013 - [i15]Vivek Srikumar, Dan Roth:
An Inventory of Preposition Relations. CoRR abs/1305.5785 (2013) - 2012
- [j31]Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth:
Structured learning with constrained conditional models. Mach. Learn. 88(3): 399-431 (2012) - [j30]Quang Xuan Do, Dan Roth:
Exploiting the Wikipedia structure in local and global classification of taxonomic relations. Nat. Lang. Eng. 18(2): 235-262 (2012) - [c173]Wei Lu, Dan Roth:
Automatic Event Extraction with Structured Preference Modeling. ACL (1) 2012: 835-844 - [c172]V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth, Peter Pirolli:
Unbiased learning of controversial topics. ASIST 2012: 1-4 - [c171]Alla Rozovskaya, Mark Sammons, Dan Roth:
The UI System in the HOO 2012 Shared Task on Error Correction. BEA@NAACL-HLT 2012: 272-280 - [c170]Yue Lu, Hongning Wang, ChengXiang Zhai, Dan Roth:
Unsupervised discovery of opposing opinion networks from forum discussions. CIKM 2012: 1642-1646 - [c169]V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth, Peter Pirolli:
BiasTrust: teaching biased users about controversial topics. CIKM 2012: 1905-1909 - [c168]Micah B. Goldwater, Scott E. Friedman, Dedre Gentner, Kenneth D. Forbus, Cynthia Fisher, Michael Connor, Dan Roth, Franklin Chang, Gary S. Dell:
New Frontiers in Computational Models of Grammatical Development. CogSci 2012 - [c167]Prateek Jindal, Dan Roth:
Using Knowledge and Constraints To Find the Best Antecedent. COLING 2012: 1327-1342 - [c166]Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, Mark Sammons, Dan Roth:
Illinois-Coref: The UI System in the CoNLL-2012 Shared Task. EMNLP-CoNLL Shared Task 2012: 113-117 - [c165]Quang Do, Wei Lu, Dan Roth:
Joint Inference for Event Timeline Construction. EMNLP-CoNLL 2012: 677-687 - [c164]Vivek Srikumar, Gourab Kundu, Dan Roth:
On Amortizing Inference Cost for Structured Prediction. EMNLP-CoNLL 2012: 1114-1124 - [c163]Lev-Arie Ratinov, Dan Roth:
Learning-based Multi-Sieve Co-reference Resolution with Knowledge. EMNLP-CoNLL 2012: 1234-1244 - [c162]Huizhong Duan, Yanen Li, ChengXiang Zhai, Dan Roth:
A Discriminative Model for Query Spelling Correction with Latent Structural SVM. EMNLP-CoNLL 2012: 1511-1521 - [c161]Kai-Wei Chang, Biplab Deka, Wen-mei W. Hwu, Dan Roth:
Efficient Pattern-Based Time Series Classification on GPU. ICDM 2012: 131-140 - [c160]Rajhans Samdani, Dan Roth:
Efficient Decomposed Learning for Structured Prediction. ICML 2012 - [c159]James Clarke, Vivek Srikumar, Mark Sammons, Dan Roth:
An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines). LREC 2012: 3276-3283 - [c158]Dan Goldwasser, Vivek Srikumar, Dan Roth:
Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP. HLT-NAACL 2012 - [c157]Ran Zhao, Quang Do, Dan Roth:
A Robust Shallow Temporal Reasoning System. HLT-NAACL 2012: 29-32 - [c156]Rajhans Samdani, Ming-Wei Chang, Dan Roth:
Unified Expectation Maximization. HLT-NAACL 2012: 688-698 - [c155]Yuancheng Tu, Dan Roth:
Sorting out the Most Confusing English Phrasal Verbs. *SEM@NAACL-HLT 2012: 65-69 - [i14]Rajhans Samdani, Dan Roth:
Efficient Decomposed Learning for Structured Prediction. CoRR abs/1206.4630 (2012) - 2011
- [j29]Ole J. Mengshoel, Dan Roth, David C. Wilkins:
Portfolios in Stochastic Local Search: Efficiently Computing Most Probable Explanations in Bayesian Networks. J. Autom. Reason. 46(2): 103-160 (2011) - [j28]Ole J. Mengshoel, David C. Wilkins, Dan Roth:
Initialization and Restart in Stochastic Local Search: Computing a Most Probable Explanation in Bayesian Networks. IEEE Trans. Knowl. Data Eng. 23(2): 235-247 (2011) - [c154]Yee Seng Chan, Dan Roth:
Exploiting Syntactico-Semantic Structures for Relation Extraction. ACL 2011: 551-560 - [c153]Alla Rozovskaya, Dan Roth:
Algorithm Selection and Model Adaptation for ESL Correction Tasks. ACL 2011: 924-933 - [c152]Lev-Arie Ratinov, Dan Roth, Doug Downey, Mike Anderson:
Local and Global Algorithms for Disambiguation to Wikipedia. ACL 2011: 1375-1384 - [c151]Dan Goldwasser, Roi Reichart, James Clarke, Dan Roth:
Confidence Driven Unsupervised Semantic Parsing. ACL 2011: 1486-1495 - [c150]Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, Nick Rizzolo, Mark Sammons, Dan Roth:
Inference Protocols for Coreference Resolution. CoNLL Shared Task 2011: 40-44 - [c149]Gourab Kundu, Dan Roth:
Adapting Text instead of the Model: An Open Domain Approach. CoNLL 2011: 229-237 - [c148]Vivek Srikumar, Dan Roth:
A Joint Model for Extended Semantic Role Labeling. EMNLP 2011: 129-139 - [c147]Quang Do, Yee Seng Chan, Dan Roth:
Minimally Supervised Event Causality Identification. EMNLP 2011: 294-303 - [c146]Alla Rozovskaya, Mark Sammons, Joshua Gioja, Dan Roth:
University of Illinois System in HOO Text Correction Shared Task. ENLG 2011: 263-266 - [c145]Gourab Kundu, Dan Roth, Rajhans Samdani:
Constrained conditional models for information fusion. FUSION 2011: 1-8 - [c144]Dong Wang, Tarek F. Abdelzaher, Hossein Ahmadi, Jeff Pasternack, Dan Roth, Manish Gupta, Jiawei Han, Omid Fatemieh, Hieu Khac Le, Charu C. Aggarwal:
On Bayesian interpretation of fact-finding in information networks. FUSION 2011: 1-8 - [c143]Prateek Jindal, Dan Roth:
Learning from Negative Examples in Set-Expansion. ICDM 2011: 1110-1115 - [c142]Michael Connor, Cynthia Fisher, Dan Roth:
Online Latent Structure Training for Language Acquisition. IJCAI 2011: 1782-1787 - [c141]Dan Goldwasser, Dan Roth:
Learning from Natural Instructions. IJCAI 2011: 1794-1800 - [c140]Jeff Pasternack, Dan Roth:
Making Better Informed Trust Decisions with Generalized Fact-Finding. IJCAI 2011: 2324-2329 - [c139]Hieu Khac Le, Jeff Pasternack, Hossein Ahmadi, Manish Gupta, Yizhou Sun, Tarek F. Abdelzaher, Jiawei Han, Dan Roth, Boleslaw K. Szymanski, Sibel Adali:
Apollo: Towards factfinding in participatory sensing. IPSN 2011: 129-130 - [c138]Kai-Wei Chang, Dan Roth:
Selective block minimization for faster convergence of limited memory large-scale linear models. KDD 2011: 699-707 - [c137]V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth:
Content-driven trust propagation framework. KDD 2011: 974-982 - [c136]Ming-Wei Chang, James Clarke, Dan Goldwasser, Lev-Arie Ratinov, Vivek Srikumar, Dan Roth:
Structured prediction with indirect supervision. MLSLP 2011 - [c135]Yuancheng Tu, Dan Roth:
Learning English Light Verb Constructions: Contextual or Statistical. MWE@ACL 2011: 31-39 - [c134]Jeff Pasternack, Dan Roth:
Generalized fact-finding. WWW (Companion Volume) 2011: 99-100 - [e3]Wolfram Burgard, Dan Roth:
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, San Francisco, California, USA, August 7-11, 2011. AAAI Press 2011 [contents] - [i13]Taylor Cassidy, Zheng Chen, Javier Artiles, Heng Ji, Hongbo Deng, Lev-Arie Ratinov, Jiawei Han, Dan Roth, Jing Zheng:
CUNY-UIUC-SRI TAC-KBP2011 Entity Linking System Description. TAC 2011 - [i12]Lev-Arie Ratinov, Dan Roth:
GLOW TAC-KBP2011 Entity Linking System. TAC 2011 - [i11]Roni Khardon, Dan Roth, Rocco A. Servedio:
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. CoRR abs/1109.2141 (2011) - 2010
- [j27]Kevin Small, Dan Roth:
Margin-based active learning for structured predictions. Int. J. Mach. Learn. Cybern. 1(1-4): 3-25 (2010) - [j26]Ido Dagan, Bill Dolan, Bernardo Magnini, Dan Roth:
Recognizing textual entailment: Rational, evaluation and approaches - Erratum. Nat. Lang. Eng. 16(1): 105 (2010) - [c133]Michael Connor, Yael Gertner, Cynthia Fisher, Dan Roth:
Starting from Scratch in Semantic Role Labeling. ACL 2010: 989-998 - [c132]Mark Sammons, V. G. Vinod Vydiswaran, Dan Roth:
"Ask Not What Textual Entailment Can Do for You...". ACL 2010: 1199-1208 - [c131]Yee Seng Chan, Dan Roth:
Exploiting Background Knowledge for Relation Extraction. COLING 2010: 152-160 - [c130]Jeff Pasternack, Dan Roth:
Knowing What to Believe (when you already know something). COLING 2010: 877-885 - [c129]Yuancheng Tu, Nikhil Johri, Dan Roth, Julia Hockenmaier:
Citation Author Topic Model in Expert Search. COLING (Posters) 2010: 1265-1273 - [c128]James Clarke, Dan Goldwasser, Ming-Wei Chang, Dan Roth:
Driving Semantic Parsing from the World's Response. CoNLL 2010: 18-27 - [c127]Ming-Wei Chang, Michael Connor, Dan Roth:
The Necessity of Combining Adaptation Methods. EMNLP 2010: 767-777 - [c126]Alla Rozovskaya, Dan Roth:
Generating Confusion Sets for Context-Sensitive Error Correction. EMNLP 2010: 961-970 - [c125]Quang Do, Dan Roth:
Constraints Based Taxonomic Relation Classification. EMNLP 2010: 1099-1109 - [c124]Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth:
Structured Output Learning with Indirect Supervision. ICML 2010: 199-206 - [c123]Nick Rizzolo, Dan Roth:
Learning Based Java for Rapid Development of NLP Systems. LREC 2010 - [c122]Ming-Wei Wang, Nicholas Rizzolo, Dan Roth:
Integer Linear Programming in NLP - Constrained Conditional Models. NAACL (Tutorial Abstracts) 2010: 9-14 - [c121]Alla Rozovskaya, Dan Roth:
Training Paradigms for Correcting Errors in Grammar and Usage. HLT-NAACL 2010: 154-162 - [c120]Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Srikumar:
Discriminative Learning over Constrained Latent Representations. HLT-NAACL 2010: 429-437 - [c119]Geoffrey Levine, Gerald DeJong, Li-Lun Wang, Rajhans Samdani, Shankar Vembu, Dan Roth:
Automatic Model Adaptation for Complex Structured Domains. ECML/PKDD (2) 2010: 243-258 - [c118]Ivan Titov, Alexandre Klementiev, Kevin Small, Dan Roth:
Unsupervised Aggregation for Classification Problems with Large Numbers of Categories. AISTATS 2010: 836-843 - [p2]Dan Roth:
Making Sense of Unstructured Textual Data. Web Intelligence and Security - Advances in Data and Text Mining Techniques for Detecting and Preventing Terrorist Activities on the Web 2010: 195-206
2000 – 2009
- 2009
- [j25]Dan Roth, Rajhans Samdani:
Learning multi-linear representations of distributions for efficient inference. Mach. Learn. 76(2-3): 195-209 (2009) - [c117]Dan Roth, Mark Sammons, V. G. Vinod Vydiswaran:
A Framework for Entailed Relation Recognition. ACL/IJCNLP (2) 2009: 57-60 - [c116]Jeff Pasternack, Dan Roth:
Learning better transliterations. CIKM 2009: 177-186 - [c115]Dan Roth, Kevin Small:
Interactive Feature Space Construction using Semantic Information. CoNLL 2009: 66-74 - [c114]Michael Connor, Yael Gertner, Cynthia Fisher, Dan Roth:
Minimally Supervised Model of Early Language Acquisition. CoNLL 2009: 84-92 - [c113]Lev-Arie Ratinov, Dan Roth:
Design Challenges and Misconceptions in Named Entity Recognition. CoNLL 2009: 147-155 - [c112]Jacob Eisenstein, James Clarke, Dan Goldwasser, Dan Roth:
Reading to Learn: Constructing Features from Semantic Abstracts. EMNLP 2009: 958-967 - [c111]Dan Roth, Yuancheng Tu:
Aspect Guided Text Categorization with Unobserved Labels. ICDM 2009: 962-967 - [c110]Alexandre Klementiev, Dan Roth, Kevin Small, Ivan Titov:
Unsupervised Rank Aggregation with Domain-Specific Expertise. IJCAI 2009: 1101-1106 - [c109]Ming-Wei Chang, Dan Goldwasser, Dan Roth, Yuancheng Tu:
Unsupervised Constraint Driven Learning For Transliteration Discovery. HLT-NAACL 2009: 299-307 - [c108]Dan Roth, Rajhans Samdani:
Learning Multi-linear Representations of Distributions for Efficient Inference. ECML/PKDD (1) 2009: 11 - [c107]Jeff Pasternack, Dan Roth:
Extracting article text from the web with maximum subsequence segmentation. WWW 2009: 971-980 - [c106]Dan Roth, Kevin Small, Ivan Titov:
Sequential Learning of Classifiers for Structured Prediction Problems. AISTATS 2009: 440-447 - [i10]Mark Sammons, V. G. Vinod Vydiswaran, Tim Vieira, Nikhil Johri, Ming-Wei Chang, Dan Goldwasser, Vivek Srikumar, Gourab Kundu, Yuancheng Tu, Kevin Small, Joshua S. Rule, Quang Do, Dan Roth:
Relation Alignment for Textual Entailment Recognition. TAC 2009 - 2008
- [j24]Vasin Punyakanok, Dan Roth, Wen-tau Yih:
The Importance of Syntactic Parsing and Inference in Semantic Role Labeling. Comput. Linguistics 34(2): 257-287 (2008) - [j23]Ezra Daya, Dan Roth, Shuly Wintner:
Identifying Semitic Roots: Machine Learning with Linguistic Constraints. Comput. Linguistics 34(3): 429-448 (2008) - [c105]Dan Roth, Kevin Small:
Active Learning for Pipeline Models. AAAI 2008: 683-688 - [c104]Benjamin Liebald, Dan Roth, Neelay Shah, Vivek Srikumar:
Proactive Intrusion Detection. AAAI 2008: 772-777 - [c103]Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth, Vivek Srikumar:
Importance of Semantic Representation: Dataless Classification. AAAI 2008: 830-835 - [c102]Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo, Dan Roth:
Learning and Inference with Constraints. AAAI 2008: 1513-1518 - [c101]Dan Goldwasser, Dan Roth:
Active Sample Selection for Named Entity Transliteration. ACL (2) 2008: 53-56 - [c100]Vivek Srikumar, Roi Reichart, Mark Sammons, Ari Rappoport, Dan Roth:
Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution. ACL 2008: 1030-1038 - [c99]Michael Connor, Yael Gertner, Cynthia Fisher, Dan Roth:
Baby SRL: Modeling Early Language Acquisition. CoNLL 2008: 81-88 - [c98]Eric Bengtson, Dan Roth:
Understanding the Value of Features for Coreference Resolution. EMNLP 2008: 294-303 - [c97]Dan Goldwasser, Dan Roth:
Transliteration as Constrained Optimization. EMNLP 2008: 353-362 - [c96]Alexandre Klementiev, Dan Roth, Kevin Small:
Unsupervised rank aggregation with distance-based models. ICML 2008: 472-479 - [c95]Mandar Rahurkar, Dan Roth, Thomas S. Huang:
Which "Apple" are you talking about ? WWW 2008: 1197-1198 - [p1]Rodrigo de Salvo Braz, Eyal Amir, Dan Roth:
A Survey of First-Order Probabilistic Models. Innovations in Bayesian Networks 2008: 289-317 - 2007
- [j22]Zhihong Zeng, Jilin Tu, Ming Liu, Thomas S. Huang, Brian Pianfetti, Dan Roth, Stephen E. Levinson:
Audio-Visual Affect Recognition. IEEE Trans. Multim. 9(2): 424-428 (2007) - [c94]Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth:
Guiding Semi-Supervision with Constraint-Driven Learning. ACL 2007 - [c93]Dan Roth, Mark Sammons:
Semantic and Logical Inference Model for Textual Entailment. ACL-PASCAL@ACL 2007: 107-112 - [c92]Michael Connor, Dan Roth:
Context Sensitive Paraphrasing with a Global Unsupervised Classifier. ECML 2007: 104-115 - [c91]Alexandre Klementiev, Dan Roth, Kevin Small:
An Unsupervised Learning Algorithm for Rank Aggregation. ECML 2007: 616-623 - [c90]Sariel Har-Peled, Dan Roth, Dav Zimak:
Maximum Margin Coresets for Active and Noise Tolerant Learning. IJCAI 2007: 836-841 - [c89]Nicholas Rizzolo, Dan Roth:
Modeling Discriminative Global Inference. ICSC 2007: 597-604 - 2006
- [j21]Ole J. Mengshoel, David C. Wilkins, Dan Roth:
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering. Artif. Intell. 170(16-17): 1137-1174 (2006) - [j20]Xin Li, Dan Roth:
Learning question classifiers: the role of semantic information. Nat. Lang. Eng. 12(3): 229-249 (2006) - [c88]Rodrigo de Salvo Braz, Eyal Amir, Dan Roth:
MPE and Partial Inversion in Lifted Probabilistic Variable Elimination. AAAI 2006: 1123-1130 - [c87]Ming-Wei Chang, Quang Do, Dan Roth:
A Pipeline Framework for Dependency Parsing. ACL 2006 - [c86]Alexandre Klementiev, Dan Roth:
Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora. ACL 2006 - [c85]Ming-Wei Chang, Quang Do, Dan Roth:
A Pipeline Model for Bottom-Up Dependency Parsing. CoNLL 2006: 186-190 - [c84]Dan Roth, Kevin Small:
Margin-Based Active Learning for Structured Output Spaces. ECML 2006: 413-424 - [c83]Alexandre Klementiev, Dan Roth:
Named Entity Transliteration and Discovery from Multilingual Comparable Corpora. HLT-NAACL 2006 - 2005
- [j19]Xin Li, Paul Morie, Dan Roth:
Semantic Integration in Text: From Ambiguous Names to Identifiable Entities. AI Mag. 26(1): 45-58 (2005) - [j18]Roni Khardon, Dan Roth, Rocco A. Servedio:
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. J. Artif. Intell. Res. 24: 341-356 (2005) - [j17]Shivani Agarwal, Thore Graepel, Ralf Herbrich, Sariel Har-Peled, Dan Roth:
Generalization Bounds for the Area Under the ROC Curve. J. Mach. Learn. Res. 6: 393-425 (2005) - [j16]Pascale Fung, Dan Roth:
Guest Editors Introduction: Machine Learning in Speech and Language Technologies. Mach. Learn. 60(1-3): 5-9 (2005) - [c82]Rodrigo de Salvo Braz, Roxana Girju, Vasin Punyakanok, Dan Roth, Mark Sammons:
An Inference Model for Semantic Entailment in Natural Language. AAAI 2005: 1043-1049 - [c81]Shivani Agarwal, Sariel Har-Peled, Dan Roth:
A Uniform Convergence Bound for the Area Under the ROC Curve. AISTATS 2005: 1-8 - [c80]Shivani Agarwal, Dan Roth:
Learnability of Bipartite Ranking Functions. COLT 2005: 16-31 - [c79]Xin Li, Dan Roth:
Discriminative Training of Clustering Functions: Theory and Experiments with Entity Identification. CoNLL 2005: 64-71 - [c78]Peter Koomen, Vasin Punyakanok, Dan Roth, Wen-tau Yih:
Generalized Inference with Multiple Semantic Role Labeling Systems. CoNLL 2005: 181-184 - [c77]Brian D. Ziebart, Dan Roth, Roy H. Campbell, Anind K. Dey:
Automated and Adaptive Threshold Setting: Enabling Technology for Autonomy and Self-Management. ICAC 2005: 204-215 - [c76]Dan Roth, Wen-tau Yih:
Integer linear programming inference for conditional random fields. ICML 2005: 736-743 - [c75]Vasin Punyakanok, Dan Roth, Wen-tau Yih:
The Necessity of Syntactic Parsing for Semantic Role Labeling. IJCAI 2005: 1117-1123 - [c74]Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak:
Learning and Inference over Constrained Output. IJCAI 2005: 1124-1129 - [c73]Rodrigo de Salvo Braz, Eyal Amir, Dan Roth:
Lifted First-Order Probabilistic Inference. IJCAI 2005: 1319-1325 - [c72]Rodrigo de Salvo Braz, Roxana Girju, Vasin Punyakanok, Dan Roth, Mark Sammons:
An Inference Model for Semantic Entailment in Natural Language. IJCAI 2005: 1678-1679 - [c71]Rodrigo de Salvo Braz, Roxana Girju, Vasin Punyakanok, Dan Roth, Mark Sammons:
An Inference Model for Semantic Entailment in Natural Language. MLCW 2005: 261-286 - [c70]Vasin Punyakanok, Dan Roth, Mark Sammons, Wen-tau Yih:
Demonstrating an Interactive Semantic Role Labeling System. HLT/EMNLP 2005: 6-7 - [c69]Cecilia Ovesdotter Alm, Dan Roth, Richard Sproat:
Emotions from Text: Machine Learning for Text-based Emotion Prediction. HLT/EMNLP 2005: 579-586 - 2004
- [j15]Shivani Agarwal, Aatif Awan, Dan Roth:
Learning to Detect Objects in Images via a Sparse, Part-Based Representation. IEEE Trans. Pattern Anal. Mach. Intell. 26(11): 1475-1490 (2004) - [c68]Xin Li, Paul Morie, Dan Roth:
Identification and Tracing of Ambiguous Names: Discriminative and Generative Approaches. AAAI 2004: 419-424 - [c67]Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak:
Semantic Role Labeling Via Integer Linear Programming Inference. COLING 2004 - [c66]Dan Roth, Wen-tau Yih:
A Linear Programming Formulation for Global Inference in Natural Language Tasks. CoNLL 2004: 1-8 - [c65]Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak, Yuancheng Tu:
Semantic Role Labeling Via Generalized Inference Over Classifiers. CoNLL 2004: 130-133 - [c64]Ezra Daya, Dan Roth, Shuly Wintner:
Learning Hebrew Roots: Machine Learning with Linguistic Constraints. EMNLP 2004: 357-364 - [c63]Zhihong Zeng, Jilin Tu, Ming Liu, Tong Zhang, Nicholas Rizzolo, ZhenQiu Zhang, Thomas S. Huang, Dan Roth, Stephen E. Levinson:
Bimodal HCI-related affect recognition. ICMI 2004: 137-143 - [c62]Xin Li, Paul Morie, Dan Roth:
Robust Reading: Identification and Tracing of Ambiguous Names. HLT-NAACL 2004: 17-24 - [c61]Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth:
A Large Deviation Bound for the Area Under the ROC Curve. NIPS 2004: 9-16 - 2003
- [c60]Xin Li, Dan Roth, Yuancheng Tu:
Phrasenet: towards context sensitive lexical semantics. CoNLL 2003: 87-94 - [c59]Chad M. Cumby, Dan Roth:
On Kernel Methods for Relational Learning. ICML 2003: 107-114 - [c58]Ashutosh Garg, Dan Roth:
Margin Distribution and Learning. ICML 2003: 210-217 - [e2]Erhard W. Hinrichs, Dan Roth:
Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, 7-12 July 2003, Sapporo Convention Center, Sapporo, Japan. ACL 2003 [contents] - 2002
- [j14]Russell Greiner, Adam J. Grove, Dan Roth:
Learning cost-sensitive active classifiers. Artif. Intell. 139(2): 137-174 (2002) - [j13]Dan Roth, Ming-Hsuan Yang, Narendra Ahuja:
Learning to Recognize Three-Dimensional Objects. Neural Comput. 14(5): 1071-1103 (2002) - [c57]Sariel Har-Peled, Dan Roth, Dav Zimak:
Constraint Classification: A New Approach to Multiclass Classification. ALT 2002: 365-379 - [c56]Xin Li, Dan Roth:
Learning Question Classifiers. COLING 2002 - [c55]Dan Roth, Wen-tau Yih:
Probabilistic Reasoning for Entity & Relation Recognition. COLING 2002 - [c54]Shivani Agarwal, Dan Roth:
Learning a Sparse Representation for Object Detection. ECCV (4) 2002: 113-130 - [c53]Ming-Hsuan Yang, Dan Roth, Narendra Ahuja:
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition. ECCV (4) 2002: 685-699 - [c52]Xavier Carreras, Lluís Màrquez, Vasin Punyakanok, Dan Roth:
Learning and Inference for Clause Identification. ECML 2002: 35-47 - [c51]Dan Roth:
Reasoning with Classifiers. ECML 2002: 506-510 - [c50]Ashutosh Garg, Sariel Har-Peled, Dan Roth:
On generalization bounds, projection profile, and margin distribution. ICML 2002: 171-178 - [c49]Chad M. Cumby, Dan Roth:
Learning with Feature Description Logics. ILP 2002: 32-47 - [c48]Sariel Har-Peled, Dan Roth, Dav Zimak:
Constraint Classification for Multiclass Classification and Ranking. NIPS 2002: 785-792 - [c47]Dan Roth:
Reasoning with Classifiers. PKDD 2002: 489-493 - [c46]Dan Roth, Chad M. Cumby, Xin Li, Paul Morie, Ramya Nagarajan, Nick Rizzolo, Kevin Small, Wen-tau Yih:
Question-Answering via Enhanced Understanding of Questions. TREC 2002 - [e1]Dan Roth, Antal van den Bosch:
Proceedings of the 6th Conference on Natural Language Learning, CoNLL 2002, Held in cooperation with COLING 2002, Taipei, Taiwan, 2002. ACL 2002 [contents] - 2001
- [j12]Adam J. Grove, Dan Roth:
Linear Concepts and Hidden Variables. Mach. Learn. 42(1/2): 123-141 (2001) - [c45]Ashutosh Garg, Dan Roth:
Learning Coherent Concepts. ALT 2001: 135-150 - [c44]Xin Li, Dan Roth:
Exploring evidence for shallow parsing. CoNLL 2001 - [c43]Ashutosh Garg, Dan Roth:
Understanding Probabilistic Classifiers. ECML 2001: 179-191 - [c42]Yair Even-Zohar, Dan Roth:
A Sequential Model for Multi-Class Classification. EMNLP 2001 - [c41]Andrew J. Carlson, Jeffrey Rosen, Dan Roth:
Scaling Up Context-Sensitive Text Correction. IAAI 2001: 45-50 - [c40]Ming-Hsuan Yang, Dan Roth, Narendra Ahuja:
Face detection using large margin classifiers. ICIP (2) 2001: 665-668 - [c39]Dan Roth, Wen-tau Yih:
Relational Learning via Propositional Algorithms: An Information Extraction Case Study. IJCAI 2001: 1257-1263 - [c38]John S. Chuang, Dan Roth:
Gene recognition based on DAG shortest paths. ISMB (Supplement of Bioinformatics) 2001: 56-64 - [c37]Roni Khardon, Dan Roth, Rocco A. Servedio:
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. NIPS 2001: 423-430 - [c36]Dan Roth, Gio Kao Kao, Xin Li, Ramya Nagarajan, Vasin Punyakanok, Nick Rizzolo, Wen-tau Yih, Cecilia Ovesdotter Alm, Liam Gerard Moran:
Learning Components for A Question-Answering System. TREC 2001 - [i9]Yair Even-Zohar, Dan Roth:
A Sequential Model for Multi-Class Classification. CoRR cs.AI/0106044 (2001) - [i8]Vasin Punyakanok, Dan Roth:
The Use of Classifiers in Sequential Inference. CoRR cs.LG/0111003 (2001) - 2000
- [c35]Dan Roth, Dmitry Zelenko:
Toward a Theory of Learning Coherent Concepts. AAAI/IAAI 2000: 639-644 - [c34]Yair Even-Zohar, Dan Roth:
A Classification Approach to Word Prediction. ANLP 2000: 124-131 - [c33]Erik F. Tjong Kim Sang, Walter Daelemans, Hervé Déjean, Rob Koeling, Yuval Krymolowski, Vasin Punyakanok, Dan Roth:
Applying System Combination to Base Noun Phrase Identification. COLING 2000: 857-863 - [c32]Dan Roth:
Learning in Natural Language: Theory and Algorithmic Approaches. CoNLL/LLL 2000: 1-6 - [c31]Vasin Punyakanok, Dan Roth:
Shallow Parsing by Inferencing with Classifiers. CoNLL/LLL 2000: 107-110 - [c30]Dan Roth, Ming-Hsuan Yang, Narendra Ahuja:
Learning to Recognize Objects. CVPR 2000: 1724-1731 - [c29]Ming-Hsuan Yang, Dan Roth, Narendra Ahuja:
Learning to Recognize 3D Objects with SNoW. ECCV (1) 2000: 439-454 - [c28]Chad M. Cumby, Dan Roth:
Relational Representations that Facilitate Learning. KR 2000: 425-434 - [c27]Vasin Punyakanok, Dan Roth:
The Use of Classifiers in Sequential Inference. NIPS 2000: 995-1001 - [i7]Erik F. Tjong Kim Sang, Walter Daelemans, Hervé Déjean, Rob Koeling, Yuval Krymolowski, Vasin Punyakanok, Dan Roth:
Applying System Combination to Base Noun Phrase Identification. CoRR cs.CL/0008012 (2000) - [i6]Yair Even-Zohar, Dan Roth:
A Classification Approach to Word Prediction. CoRR cs.CL/0009027 (2000) - [i5]Marcia Muñoz, Vasin Punyakanok, Dan Roth, Dav Zimak:
A Learning Approach to Shallow Parsing. CoRR cs.LG/0008022 (2000)
1990 – 1999
- 1999
- [j11]Roni Khardon, Heikki Mannila, Dan Roth:
Reasoning with Examples: Propositional Formulae and Database Dependencies. Acta Informatica 36(4): 267-286 (1999) - [j10]Andrew R. Golding, Dan Roth:
A Winnow-Based Approach to Context-Sensitive Spelling Correction. Mach. Learn. 34(1-3): 107-130 (1999) - [j9]Roni Khardon, Dan Roth:
Learning to Reason with a Restricted View. Mach. Learn. 35(2): 95-116 (1999) - [j8]Marios Mavronicolas, Dan Roth:
Linearizable Read/Write Objects. Theor. Comput. Sci. 220(1): 267-319 (1999) - [c26]Marcia Muñoz, Vasin Punyakanok, Dan Roth, Dav Zimak:
A Learning Approach to Shallow Parsing. EMNLP 1999 - [c25]Dan Roth:
Learning in Natural Language. IJCAI 1999: 898-904 - [c24]Roni Khardon, Dan Roth, Leslie G. Valiant:
Relational Learning for NLP using Linear Threshold Elements. IJCAI 1999: 911-919 - [c23]Ming-Hsuan Yang, Dan Roth, Narendra Ahuja:
A SNoW-Based Face Detector. NIPS 1999: 862-868 - [c22]Dan Roth, Dmitry Zelenko:
Coherent Concepts, Robust Learning. SOFSEM 1999: 264-276 - 1998
- [j7]Howard Aizenstein, Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth:
On Learning Read-k-Satisfy-j DNF. SIAM J. Comput. 27(6): 1515-1530 (1998) - [c21]Dan Roth:
Learning to Resolve Natural Language Ambiguities: A Unified Approach. AAAI/IAAI 1998: 806-813 - [c20]Dan Roth, Dmitry Zelenko:
Part of Speech Tagging Using a Network of Linear Separators. COLING-ACL 1998: 1136-1142 - [c19]Yuval Krymolowski, Dan Roth:
Incorporating Knowledge in Natural Language Learning: A Case Study. WordNet@ACL/COLING 1998 - [c18]Ronen Basri, Dan Roth, David W. Jacobs:
Clustering Appearances of 3D Objects. CVPR 1998: 414-420 - [i4]Dan Roth:
Learning to Resolve Natural Language Ambiguities: A Unified Approach. CoRR cs.CL/9811010 (1998) - [i3]Andrew R. Golding, Dan Roth:
A Winnow-Based Approach to Context-Sensitive Spelling Correction. CoRR cs.LG/9811003 (1998) - 1997
- [j6]Roni Khardon, Dan Roth:
Defaults and Relevance in Model-Based Reasoning. Artif. Intell. 97(1-2): 169-193 (1997) - [j5]Karen L. Daniels, Victor J. Milenkovic, Dan Roth:
Finding the Largest Area Axis-parallel Rectangle in a Polygon. Comput. Geom. 7: 125-148 (1997) - [j4]Roni Khardon, Dan Roth:
Learning to reason. J. ACM 44(5): 697-725 (1997) - [c17]Ido Dagan, Yael Karov, Dan Roth:
Mistake-Driven Learning in Text Categorization. EMNLP 1997 - [c16]Dan Roth:
Learning to Perform Knowledge-Intensive Inferences. MFCS 1997: 108-109 - [c15]Adam J. Grove, Dan Roth:
Linear Concepts and Hidden Variables: An Empirical Study. NIPS 1997: 500-506 - [i2]Ido Dagan, Yael Karov, Dan Roth:
Mistake-Driven Learning in Text Categorization. CoRR cmp-lg/9706006 (1997) - 1996
- [j3]Dan Roth:
On the Hardness of Approximate Reasoning. Artif. Intell. 82(1-2): 273-302 (1996) - [j2]Roni Khardon, Dan Roth:
Reasoning with Models. Artif. Intell. 87(1-2): 187-213 (1996) - [j1]Eyal Kushilevitz, Dan Roth:
On Learning Visual Concepts and DNF Formulae. Mach. Learn. 24(1): 65-85 (1996) - [c14]Dan Roth:
A Connectionist Framework for Reasoning: Reasoning with Examples. AAAI/IAAI, Vol. 2 1996: 1256-1261 - [c13]Andrew R. Golding, Dan Roth:
Applying Winnow to Context-Sensitive Spelling Correction. ICML 1996: 182-190 - [c12]Russell Greiner, Adam J. Grove, Dan Roth:
Learning Active Classifiers. ICML 1996: 207-215 - [c11]Dan Roth:
Learning in Order to Reason: The Approach. SOFSEM 1996: 113-124 - [i1]Andrew R. Golding, Dan Roth:
Applying Winnow to Context-Sensitive Spelling Correction. CoRR cmp-lg/9607024 (1996) - 1995
- [c10]Roni Khardon, Dan Roth:
Learning to Reason with a Restricted View. COLT 1995: 301-310 - [c9]Roni Khardon, Dan Roth:
Default-Reasoning with Models. IJCAI 1995: 319-327 - [c8]Dan Roth:
Learning to Reason: The Non-Monotonic Case. IJCAI 1995: 1178-1184 - 1994
- [c7]Roni Khardon, Dan Roth:
Learning to Reason. AAAI 1994: 682-687 - [c6]Roni Khardon, Dan Roth:
Reasoning with Models. AAAI 1994: 1148-1153 - [c5]Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth:
On Learning Read-k-Satisfy-j DNF. COLT 1994: 110-117 - 1993
- [c4]Karen L. Daniels, Victor Milenkovic, Dan Roth:
Finding the Maximum Area Axis-parallel Rectangle in a Polygon. CCCG 1993: 322-327 - [c3]Eyal Kushilevitz, Dan Roth:
On Learning Visual Concepts and DNF Formulae. COLT 1993: 317-326 - [c2]Dan Roth:
On the Hardness of Approximate Reasoning. IJCAI 1993: 613-619 - 1992
- [c1]Marios Mavronicolas, Dan Roth:
Efficient, Strongly Consistent Implementations of Shared Memory (Extended Abstract). WDAG 1992: 346-361
Coauthor Index
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