Efficient, Strongly Consistent Implementations of Shared Memory (Extended Abstract). - Marios Mavronicolas; Dan Roth 001 (WDAG, 1992)

Finding the Maximum Area Axis-parallel Rectangle in a Polygon. - Karen L. Daniels; Victor Milenkovic; Dan Roth 001 (CCCG, 1993)

On Learning Read-k-Satisfy-j DNF. - Avrim Blum; Roni Khardon; Eyal Kushilevitz; Leonard Pitt; Dan Roth 001 (COLT, 1994)

Default-Reasoning with Models. - Roni Khardon; Dan Roth 001 (IJCAI, 1995)

Learning to Reason: The Non-Monotonic Case. - Dan Roth 001 (IJCAI, 1995)

A Connectionist Framework for Reasoning: Reasoning with Examples. - Dan Roth 001 (AAAI/IAAI, Vol. 2, 1996)

Applying Winnow to Context-Sensitive Spelling Correction. - Andrew R. Golding; Dan Roth 001 (ICML, 1996)

Learning Active Classifiers. - Russell Greiner; Adam J. Grove; Dan Roth 001 (ICML, 1996)

Learning in Order to Reason: The Approach. - Dan Roth 001 (SOFSEM, 1996)

Reasoning with Models. - Roni Khardon; Dan Roth 001 (Artif. Intell., 1996)

On the Hardness of Approximate Reasoning. - Dan Roth 001 (Artif. Intell., 1996)

On Learning Visual Concepts and DNF Formulae. - Eyal Kushilevitz; Dan Roth 001 (Mach. Learn., 1996)

Mistake-Driven Learning in Text Categorization. - Ido Dagan; Yael Karov; Dan Roth 001 (EMNLP, 1997)

Learning to Perform Knowledge-Intensive Inferences. - Dan Roth 001 (MFCS, 1997)

Linear Concepts and Hidden Variables: An Empirical Study. - Adam J. Grove; Dan Roth 001 (NIPS, 1997)

Defaults and Relevance in Model-Based Reasoning. - Roni Khardon; Dan Roth 001 (Artif. Intell., 1997)

Finding the Largest Area Axis-parallel Rectangle in a Polygon. - Karen L. Daniels; Victor J. Milenkovic; Dan Roth 001 (Comput. Geom., 1997)

Learning to reason. - Roni Khardon; Dan Roth 001 (J. ACM, 1997)

Learning to Resolve Natural Language Ambiguities: A Unified Approach. - Dan Roth 001 (AAAI/IAAI, 1998)

Part of Speech Tagging Using a Network of Linear Separators. - Dan Roth 001; Dmitry Zelenko (COLING-ACL, 1998)

Incorporating Knowledge in Natural Language Learning: A Case Study. - Yuval Krymolowski; Dan Roth 001 (WordNet@ACL/COLING, 1998)

Clustering Appearances of 3D Objects. - Ronen Basri; Dan Roth 001; David W. Jacobs (CVPR, 1998)

On Learning Read-k-Satisfy-j DNF. - Howard Aizenstein; Avrim Blum; Roni Khardon; Eyal Kushilevitz; Leonard Pitt; Dan Roth 001 (SIAM J. Comput., 1998)

A Learning Approach to Shallow Parsing. - Marcia Muñoz; Vasin Punyakanok; Dan Roth 001; Dav Zimak (EMNLP, 1999)

Relational Learning for NLP using Linear Threshold Elements. - Roni Khardon; Dan Roth 001; Leslie G. Valiant (IJCAI, 1999)

Learning in Natural Language. - Dan Roth 001 (IJCAI, 1999)

A SNoW-Based Face Detector. - Ming-Hsuan Yang 001; Dan Roth 001; Narendra Ahuja (NIPS, 1999)

Coherent Concepts, Robust Learning. - Dan Roth 001; Dmitry Zelenko (SOFSEM, 1999)

Reasoning with Examples: Propositional Formulae and Database Dependencies. - Roni Khardon; Heikki Mannila; Dan Roth 001 (Acta Informatica, 1999)

A Winnow-Based Approach to Context-Sensitive Spelling Correction. - Andrew R. Golding; Dan Roth 001 (Mach. Learn., 1999)

Learning to Reason with a Restricted View. - Roni Khardon; Dan Roth 001 (Mach. Learn., 1999)

Linearizable Read/Write Objects. - Marios Mavronicolas; Dan Roth 001 (Theor. Comput. Sci., 1999)

Toward a Theory of Learning Coherent Concepts. - Dan Roth 001; Dmitry Zelenko (AAAI/IAAI, 2000)

A Classification Approach to Word Prediction. - Yair Even-Zohar; Dan Roth 001 (ANLP, 2000)

Applying System Combination to Base Noun Phrase Identification. - Erik F. Tjong Kim Sang; Walter Daelemans; Hervé Déjean; Rob Koeling; Yuval Krymolowski; Vasin Punyakanok; Dan Roth 001 (COLING, 2000)

Shallow Parsing by Inferencing with Classifiers. - Vasin Punyakanok; Dan Roth 001 (CoNLL/LLL, 2000)

Learning in Natural Language: Theory and Algorithmic Approaches. - Dan Roth 001 (CoNLL/LLL, 2000)

Learning to Recognize Objects. - Dan Roth 001; Ming-Hsuan Yang 001; Narendra Ahuja (CVPR, 2000)

Learning to Recognize 3D Objects with SNoW. - Ming-Hsuan Yang 001; Dan Roth 001; Narendra Ahuja (ECCV (1), 2000)

Relational Representations that Facilitate Learning. - Chad M. Cumby; Dan Roth 001 (KR, 2000)

The Use of Classifiers in Sequential Inference. - Vasin Punyakanok; Dan Roth 001 (NIPS, 2000)

Learning Coherent Concepts. - Ashutosh Garg; Dan Roth 001 (ALT, 2001)

Exploring evidence for shallow parsing. - Xin Li 018; Dan Roth 001 (CoNLL, 2001)

Understanding Probabilistic Classifiers. - Ashutosh Garg; Dan Roth 001 (ECML, 2001)

A Sequential Model for Multi-Class Classification. - Yair Even-Zohar; Dan Roth 001 (EMNLP, 2001)

Scaling Up Context-Sensitive Text Correction. - Andrew J. Carlson; Jeffrey Rosen; Dan Roth 001 (IAAI, 2001)

Face detection using large margin classifiers. - Ming-Hsuan Yang 001; Dan Roth 001; Narendra Ahuja (ICIP (2), 2001)

Relational Learning via Propositional Algorithms: An Information Extraction Case Study. - Dan Roth 001; Wen-tau Yih (IJCAI, 2001)

Gene recognition based on DAG shortest paths. - John S. Chuang; Dan Roth 001 (ISMB (Supplement of Bioinformatics), 2001)

Learning Components for A Question-Answering System. - Dan Roth 001; Gio Kao Kao; Xin Li 018; Ramya Nagarajan; Vasin Punyakanok; Nick Rizzolo; Wen-tau Yih; Cecilia Ovesdotter Alm; Liam Gerard Moran (TREC, 2001)

Linear Concepts and Hidden Variables. - Adam J. Grove; Dan Roth 001 (Mach. Learn., 2001)

Constraint Classification: A New Approach to Multiclass Classification. - Sariel Har-Peled; Dan Roth 001; Dav Zimak (ALT, 2002)

Learning Question Classifiers. - Xin Li 018; Dan Roth 001 (COLING, 2002)

Probabilistic Reasoning for Entity & Relation Recognition. - Dan Roth 001; Wen-tau Yih (COLING, 2002)

Learning a Sparse Representation for Object Detection. - Shivani Agarwal 001; Dan Roth 001 (ECCV (4), 2002)

A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition. - Ming-Hsuan Yang 001; Dan Roth 001; Narendra Ahuja (ECCV (4), 2002)

Learning and Inference for Clause Identification. - Xavier Carreras; Lluís Màrquez; Vasin Punyakanok; Dan Roth 001 (ECML, 2002)

On generalization bounds, projection profile, and margin distribution. - Ashutosh Garg; Sariel Har-Peled; Dan Roth 001 (ICML, 2002)

Learning with Feature Description Logics. - Chad M. Cumby; Dan Roth 001 (ILP, 2002)

Constraint Classification for Multiclass Classification and Ranking. - Sariel Har-Peled; Dan Roth 001; Dav Zimak (NIPS, 2002)

Reasoning with Classifiers. - Dan Roth 001 (PKDD, 2002)

Question-Answering via Enhanced Understanding of Questions. - Dan Roth 001; Chad M. Cumby; Xin Li 018; Paul Morie; Ramya Nagarajan; Nick Rizzolo; Kevin Small; Wen-tau Yih (TREC, 2002)

Learning cost-sensitive active classifiers. - Russell Greiner; Adam J. Grove; Dan Roth 001 (Artif. Intell., 2002)

Learning to Recognize Three-Dimensional Objects. - Dan Roth 001; Ming-Hsuan Yang 001; Narendra Ahuja (Neural Comput., 2002)

Phrasenet: towards context sensitive lexical semantics. - Xin Li 018; Dan Roth 001; Yuancheng Tu (CoNLL, 2003)

On Kernel Methods for Relational Learning. - Chad M. Cumby; Dan Roth 001 (ICML, 2003)

Margin Distribution and Learning. - Ashutosh Garg; Dan Roth 001 (ICML, 2003)

Identification and Tracing of Ambiguous Names: Discriminative and Generative Approaches. - Xin Li 018; Paul Morie; Dan Roth 001 (AAAI, 2004)

Semantic Role Labeling Via Integer Linear Programming Inference. - Vasin Punyakanok; Dan Roth 001; Wen-tau Yih; Dav Zimak (COLING, 2004)

Semantic Role Labeling Via Generalized Inference Over Classifiers. - Vasin Punyakanok; Dan Roth 001; Wen-tau Yih; Dav Zimak; Yuancheng Tu (CoNLL, 2004)

A Linear Programming Formulation for Global Inference in Natural Language Tasks. - Dan Roth 001; Wen-tau Yih (CoNLL, 2004)

Learning Hebrew Roots: Machine Learning with Linguistic Constraints. - Ezra Daya; Dan Roth 001; Shuly Wintner (EMNLP, 2004)

Bimodal HCI-related affect recognition. - Zhihong Zeng; Jilin Tu; Ming Liu 009; Tong Zhang 005; Nicholas Rizzolo; ZhenQiu Zhang; Thomas S. Huang; Dan Roth 001; Stephen E. Levinson (ICMI, 2004)

Robust Reading: Identification and Tracing of Ambiguous Names. - Xin Li 018; Paul Morie; Dan Roth 001 (HLT-NAACL, 2004)

A Large Deviation Bound for the Area Under the ROC Curve. - Shivani Agarwal 001; Thore Graepel; Ralf Herbrich; Dan Roth 001 (NIPS, 2004)

Learning to Detect Objects in Images via a Sparse, Part-Based Representation. - Shivani Agarwal 001; Aatif Awan; Dan Roth 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

An Inference Model for Semantic Entailment in Natural Language. - Rodrigo de Salvo Braz; Roxana Girju; Vasin Punyakanok; Dan Roth 001; Mark Sammons (AAAI, 2005)

A Uniform Convergence Bound for the Area Under the ROC Curve. - Shivani Agarwal 001; Sariel Har-Peled; Dan Roth 001 (AISTATS, 2005)

Learnability of Bipartite Ranking Functions. - Shivani Agarwal 001; Dan Roth 001 (COLT, 2005)

Generalized Inference with Multiple Semantic Role Labeling Systems. - Peter Koomen; Vasin Punyakanok; Dan Roth 001; Wen-tau Yih (CoNLL, 2005)

Discriminative Training of Clustering Functions: Theory and Experiments with Entity Identification. - Xin Li 018; Dan Roth 001 (CoNLL, 2005)

Automated and Adaptive Threshold Setting: Enabling Technology for Autonomy and Self-Management. - Brian D. Ziebart; Dan Roth 001; Roy H. Campbell; Anind K. Dey (ICAC, 2005)

Integer linear programming inference for conditional random fields. - Dan Roth 001; Wen-tau Yih (ICML, 2005)

Lifted First-Order Probabilistic Inference. - Rodrigo de Salvo Braz; Eyal Amir; Dan Roth 001 (IJCAI, 2005)

The Necessity of Syntactic Parsing for Semantic Role Labeling. - Vasin Punyakanok; Dan Roth 001; Wen-tau Yih (IJCAI, 2005)

Learning and Inference over Constrained Output. - Vasin Punyakanok; Dan Roth 001; Wen-tau Yih; Dav Zimak (IJCAI, 2005)

Emotions from Text: Machine Learning for Text-based Emotion Prediction. - Cecilia Ovesdotter Alm; Dan Roth 001; Richard Sproat (HLT/EMNLP, 2005)

Demonstrating an Interactive Semantic Role Labeling System. - Vasin Punyakanok; Dan Roth 001; Mark Sammons; Wen-tau Yih (HLT/EMNLP, 2005)

Semantic Integration in Text: From Ambiguous Names to Identifiable Entities. - Xin Li 018; Paul Morie; Dan Roth 001 (AI Mag., 2005)

Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. - Roni Khardon; Dan Roth 001; Rocco A. Servedio (J. Artif. Intell. Res., 2005)

Generalization Bounds for the Area Under the ROC Curve. - Shivani Agarwal 001; Thore Graepel; Ralf Herbrich; Sariel Har-Peled; Dan Roth 001 (J. Mach. Learn. Res., 2005)

Guest Editors Introduction: Machine Learning in Speech and Language Technologies. - Pascale Fung; Dan Roth 001 (Mach. Learn., 2005)

MPE and Partial Inversion in Lifted Probabilistic Variable Elimination. - Rodrigo de Salvo Braz; Eyal Amir; Dan Roth 001 (AAAI, 2006)

A Pipeline Framework for Dependency Parsing. - Ming-Wei Chang; Quang Do; Dan Roth 001 (ACL, 2006)

Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora. - Alexandre Klementiev; Dan Roth 001 (ACL, 2006)

A Pipeline Model for Bottom-Up Dependency Parsing. - Ming-Wei Chang; Quang Do; Dan Roth 001 (CoNLL, 2006)

Margin-Based Active Learning for Structured Output Spaces. - Dan Roth 001; Kevin Small (ECML, 2006)

Named Entity Transliteration and Discovery from Multilingual Comparable Corpora. - Alexandre Klementiev; Dan Roth 001 (HLT-NAACL, 2006)

Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering. - Ole J. Mengshoel; David C. Wilkins; Dan Roth 001 (Artif. Intell., 2006)

Learning question classifiers: the role of semantic information. - Xin Li 018; Dan Roth 001 (Nat. Lang. Eng., 2006)

Guiding Semi-Supervision with Constraint-Driven Learning. - Ming-Wei Chang; Lev-Arie Ratinov; Dan Roth 001 (ACL, 2007)

Semantic and Logical Inference Model for Textual Entailment. - Dan Roth 001; Mark Sammons (ACL-PASCAL@ACL, 2007)

Context Sensitive Paraphrasing with a Global Unsupervised Classifier. - Michael Connor; Dan Roth 001 (ECML, 2007)

An Unsupervised Learning Algorithm for Rank Aggregation. - Alexandre Klementiev; Dan Roth 001; Kevin Small (ECML, 2007)

Maximum Margin Coresets for Active and Noise Tolerant Learning. - Sariel Har-Peled; Dan Roth 001; Dav Zimak (IJCAI, 2007)

Modeling Discriminative Global Inference. - Nicholas Rizzolo; Dan Roth 001 (ICSC, 2007)

Audio-Visual Affect Recognition. - Zhihong Zeng; Jilin Tu; Ming Liu 009; Thomas S. Huang; Brian Pianfetti; Dan Roth 001; Stephen E. Levinson (IEEE Trans. Multim., 2007)

Learning and Inference with Constraints. - Ming-Wei Chang; Lev-Arie Ratinov; Nicholas Rizzolo; Dan Roth 001 (AAAI, 2008)

Importance of Semantic Representation: Dataless Classification. - Ming-Wei Chang; Lev-Arie Ratinov; Dan Roth 001; Vivek Srikumar (AAAI, 2008)

Proactive Intrusion Detection. - Benjamin Liebald; Dan Roth 001; Neelay Shah; Vivek Srikumar (AAAI, 2008)

Active Learning for Pipeline Models. - Dan Roth 001; Kevin Small (AAAI, 2008)

Active Sample Selection for Named Entity Transliteration. - Dan Goldwasser; Dan Roth 001 (ACL (2), 2008)

Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution. - Vivek Srikumar; Roi Reichart; Mark Sammons; Ari Rappoport; Dan Roth 001 (ACL, 2008)

Baby SRL: Modeling Early Language Acquisition. - Michael Connor; Yael Gertner; Cynthia Fisher; Dan Roth 001 (CoNLL, 2008)

Understanding the Value of Features for Coreference Resolution. - Eric Bengtson; Dan Roth 001 (EMNLP, 2008)

Transliteration as Constrained Optimization. - Dan Goldwasser; Dan Roth 001 (EMNLP, 2008)

Unsupervised rank aggregation with distance-based models. - Alexandre Klementiev; Dan Roth 001; Kevin Small (ICML, 2008)

Which "Apple" are you talking about ? - Mandar Rahurkar; Dan Roth 001; Thomas S. Huang (WWW, 2008)

Identifying Semitic Roots: Machine Learning with Linguistic Constraints. - Ezra Daya; Dan Roth 001; Shuly Wintner (Comput. Linguistics, 2008)

The Importance of Syntactic Parsing and Inference in Semantic Role Labeling. - Vasin Punyakanok; Dan Roth 001; Wen-tau Yih (Comput. Linguistics, 2008)

A Survey of First-Order Probabilistic Models. - Rodrigo de Salvo Braz; Eyal Amir; Dan Roth 001 (Innovations in Bayesian Networks, 2008)

A Framework for Entailed Relation Recognition. - Dan Roth 001; Mark Sammons; V. G. Vinod Vydiswaran (ACL/IJCNLP (2), 2009)

Learning better transliterations. - Jeff Pasternack; Dan Roth 001 (CIKM, 2009)

Minimally Supervised Model of Early Language Acquisition. - Michael Connor; Yael Gertner; Cynthia Fisher; Dan Roth 001 (CoNLL, 2009)

Design Challenges and Misconceptions in Named Entity Recognition. - Lev-Arie Ratinov; Dan Roth 001 (CoNLL, 2009)

Interactive Feature Space Construction using Semantic Information. - Dan Roth 001; Kevin Small (CoNLL, 2009)

Reading to Learn: Constructing Features from Semantic Abstracts. - Jacob Eisenstein; James Clarke; Dan Goldwasser; Dan Roth 001 (EMNLP, 2009)

Aspect Guided Text Categorization with Unobserved Labels. - Dan Roth 001; Yuancheng Tu (ICDM, 2009)

Unsupervised Rank Aggregation with Domain-Specific Expertise. - Alexandre Klementiev; Dan Roth 001; Kevin Small; Ivan Titov 001 (IJCAI, 2009)

Unsupervised Constraint Driven Learning For Transliteration Discovery. - Ming-Wei Chang; Dan Goldwasser; Dan Roth 001; Yuancheng Tu (HLT-NAACL, 2009)

Relation Alignment for Textual Entailment Recognition. - 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; et al. (TAC, 2009)

Extracting article text from the web with maximum subsequence segmentation. - Jeff Pasternack; Dan Roth 001 (WWW, 2009)

Sequential Learning of Classifiers for Structured Prediction Problems. - Dan Roth 001; Kevin Small; Ivan Titov 001 (AISTATS, 2009)

Learning multi-linear representations of distributions for efficient inference. - Dan Roth 001; Rajhans Samdani (Mach. Learn., 2009)

Starting from Scratch in Semantic Role Labeling. - Michael Connor; Yael Gertner; Cynthia Fisher; Dan Roth 001 (ACL, 2010)

"Ask Not What Textual Entailment Can Do for You...". - Mark Sammons; V. G. Vinod Vydiswaran; Dan Roth 001 (ACL, 2010)

Exploiting Background Knowledge for Relation Extraction. - Yee Seng Chan; Dan Roth 001 (COLING, 2010)

Knowing What to Believe (when you already know something). - Jeff Pasternack; Dan Roth 001 (COLING, 2010)

Citation Author Topic Model in Expert Search. - Yuancheng Tu; Nikhil Johri; Dan Roth 001; Julia Hockenmaier (COLING (Posters), 2010)

Driving Semantic Parsing from the World's Response. - James Clarke; Dan Goldwasser; Ming-Wei Chang; Dan Roth 001 (CoNLL, 2010)

The Necessity of Combining Adaptation Methods. - Ming-Wei Chang; Michael Connor; Dan Roth 001 (EMNLP, 2010)

Constraints Based Taxonomic Relation Classification. - Quang Do; Dan Roth 001 (EMNLP, 2010)

Generating Confusion Sets for Context-Sensitive Error Correction. - Alla Rozovskaya; Dan Roth 001 (EMNLP, 2010)

Structured Output Learning with Indirect Supervision. - Ming-Wei Chang; Vivek Srikumar; Dan Goldwasser; Dan Roth 001 (ICML, 2010)

Learning Based Java for Rapid Development of NLP Systems. - Nick Rizzolo; Dan Roth 001 (LREC, 2010)

Discriminative Learning over Constrained Latent Representations. - Ming-Wei Chang; Dan Goldwasser; Dan Roth 001; Vivek Srikumar (HLT-NAACL, 2010)

Training Paradigms for Correcting Errors in Grammar and Usage. - Alla Rozovskaya; Dan Roth 001 (HLT-NAACL, 2010)

Integer Linear Programming in NLP - Constrained Conditional Models. - Ming-Wei Wang; Nicholas Rizzolo; Dan Roth 001 (NAACL (Tutorial Abstracts), 2010)

Automatic Model Adaptation for Complex Structured Domains. - Geoffrey Levine; Gerald DeJong; Li-Lun Wang; Rajhans Samdani; Shankar Vembu; Dan Roth 001 (ECML/PKDD (2), 2010)

Unsupervised Aggregation for Classification Problems with Large Numbers of Categories. - Ivan Titov 001; Alexandre Klementiev; Kevin Small; Dan Roth 001 (AISTATS, 2010)

Margin-based active learning for structured predictions. - Kevin Small; Dan Roth 001 (Int. J. Mach. Learn. Cybern., 2010)

Recognizing textual entailment: Rational, evaluation and approaches - Erratum. - Ido Dagan; Bill Dolan; Bernardo Magnini; Dan Roth 001 (Nat. Lang. Eng., 2010)

Making Sense of Unstructured Textual Data. - Dan Roth 001 (Web Intelligence and Security - Advances in Data and Text Mining Techniques for Detecting and Preventing Terrorist Activities on the Web, 2010)

Exploiting Syntactico-Semantic Structures for Relation Extraction. - Yee Seng Chan; Dan Roth 001 (ACL, 2011)

Confidence Driven Unsupervised Semantic Parsing. - Dan Goldwasser; Roi Reichart; James Clarke; Dan Roth 001 (ACL, 2011)

Local and Global Algorithms for Disambiguation to Wikipedia. - Lev-Arie Ratinov; Dan Roth 001; Doug Downey; Mike Anderson (ACL, 2011)

Algorithm Selection and Model Adaptation for ESL Correction Tasks. - Alla Rozovskaya; Dan Roth 001 (ACL, 2011)

Inference Protocols for Coreference Resolution. - Kai-Wei Chang; Rajhans Samdani; Alla Rozovskaya; Nick Rizzolo; Mark Sammons; Dan Roth 001 (CoNLL Shared Task, 2011)

Adapting Text instead of the Model: An Open Domain Approach. - Gourab Kundu; Dan Roth 001 (CoNLL, 2011)

Minimally Supervised Event Causality Identification. - Quang Do; Yee Seng Chan; Dan Roth 001 (EMNLP, 2011)

A Joint Model for Extended Semantic Role Labeling. - Vivek Srikumar; Dan Roth 001 (EMNLP, 2011)

University of Illinois System in HOO Text Correction Shared Task. - Alla Rozovskaya; Mark Sammons; Joshua Gioja; Dan Roth 001 (ENLG, 2011)

Constrained conditional models for information fusion. - Gourab Kundu; Dan Roth 001; Rajhans Samdani (FUSION, 2011)

On Bayesian interpretation of fact-finding in information networks. - Dong Wang 002; Tarek F. Abdelzaher; Hossein Ahmadi 001; Jeff Pasternack; Dan Roth 001; Manish Gupta 001; Jiawei Han 001; Omid Fatemieh; Hieu Khac Le; Charu C. Aggarwal (FUSION, 2011)

Learning from Negative Examples in Set-Expansion. - Prateek Jindal; Dan Roth 001 (ICDM, 2011)

Online Latent Structure Training for Language Acquisition. - Michael Connor; Cynthia Fisher; Dan Roth 001 (IJCAI, 2011)

Making Better Informed Trust Decisions with Generalized Fact-Finding. - Jeff Pasternack; Dan Roth 001 (IJCAI, 2011)

Apollo: Towards factfinding in participatory sensing. - Hieu Khac Le; Jeff Pasternack; Hossein Ahmadi 001; Manish Gupta 001; Yizhou Sun; Tarek F. Abdelzaher; Jiawei Han 001; Dan Roth 001; Boleslaw K. Szymanski; Sibel Adali (IPSN, 2011)

Selective block minimization for faster convergence of limited memory large-scale linear models. - Kai-Wei Chang; Dan Roth 001 (KDD, 2011)

Content-driven trust propagation framework. - V. G. Vinod Vydiswaran; ChengXiang Zhai; Dan Roth 001 (KDD, 2011)

Structured prediction with indirect supervision. - Ming-Wei Chang; James Clarke; Dan Goldwasser; Lev-Arie Ratinov; Vivek Srikumar; Dan Roth 001 (MLSLP, 2011)

Learning English Light Verb Constructions: Contextual or Statistical. - Yuancheng Tu; Dan Roth 001 (MWE@ACL, 2011)

CUNY-UIUC-SRI TAC-KBP2011 Entity Linking System Description. - Taylor Cassidy; Zheng Chen 015; Javier Artiles; Heng Ji 001; Hongbo Deng; Lev-Arie Ratinov; Jiawei Han 001; Dan Roth 001; Jing Zheng 001 (TAC, 2011)

GLOW TAC-KBP2011 Entity Linking System. - Lev-Arie Ratinov; Dan Roth 001 (TAC, 2011)

Generalized fact-finding. - Jeff Pasternack; Dan Roth 001 (WWW (Companion Volume), 2011)

Portfolios in Stochastic Local Search: Efficiently Computing Most Probable Explanations in Bayesian Networks. - Ole J. Mengshoel; Dan Roth 001; David C. Wilkins (J. Autom. Reason., 2011)

Initialization and Restart in Stochastic Local Search: Computing a Most Probable Explanation in Bayesian Networks. - Ole J. Mengshoel; David C. Wilkins; Dan Roth 001 (IEEE Trans. Knowl. Data Eng., 2011)

Automatic Event Extraction with Structured Preference Modeling. - Wei Lu 011; Dan Roth 001 (ACL (1), 2012)

Unbiased learning of controversial topics. - V. G. Vinod Vydiswaran; ChengXiang Zhai; Dan Roth 001; Peter Pirolli (ASIST, 2012)

The UI System in the HOO 2012 Shared Task on Error Correction. - Alla Rozovskaya; Mark Sammons; Dan Roth 001 (BEA@NAACL-HLT, 2012)

Unsupervised discovery of opposing opinion networks from forum discussions. - Yue Lu 002; Hongning Wang; ChengXiang Zhai; Dan Roth 001 (CIKM, 2012)

BiasTrust: teaching biased users about controversial topics. - V. G. Vinod Vydiswaran; ChengXiang Zhai; Dan Roth 001; Peter Pirolli (CIKM, 2012)

New Frontiers in Computational Models of Grammatical Development. - Micah B. Goldwater; Scott E. Friedman; Dedre Gentner; Kenneth D. Forbus; Cynthia Fisher; Michael Connor; Dan Roth 001; Franklin Chang; Gary S. Dell (CogSci, 2012)

Using Knowledge and Constraints To Find the Best Antecedent. - Prateek Jindal; Dan Roth 001 (COLING, 2012)

Illinois-Coref: The UI System in the CoNLL-2012 Shared Task. - Kai-Wei Chang; Rajhans Samdani; Alla Rozovskaya; Mark Sammons; Dan Roth 001 (EMNLP-CoNLL Shared Task, 2012)

Joint Inference for Event Timeline Construction. - Quang Do; Wei Lu 011; Dan Roth 001 (EMNLP-CoNLL, 2012)

A Discriminative Model for Query Spelling Correction with Latent Structural SVM. - Huizhong Duan; Yanen Li; ChengXiang Zhai; Dan Roth 001 (EMNLP-CoNLL, 2012)

Learning-based Multi-Sieve Co-reference Resolution with Knowledge. - Lev-Arie Ratinov; Dan Roth 001 (EMNLP-CoNLL, 2012)

On Amortizing Inference Cost for Structured Prediction. - Vivek Srikumar; Gourab Kundu; Dan Roth 001 (EMNLP-CoNLL, 2012)

Efficient Pattern-Based Time Series Classification on GPU. - Kai-Wei Chang; Biplab Deka; Wen-mei W. Hwu; Dan Roth 001 (ICDM, 2012)

Efficient Decomposed Learning for Structured Prediction. - Rajhans Samdani; Dan Roth 001 (ICML, 2012)

An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines). - James Clarke; Vivek Srikumar; Mark Sammons; Dan Roth 001 (LREC, 2012)

Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP. - Dan Goldwasser; Vivek Srikumar; Dan Roth 001 (HLT-NAACL, 2012)

Unified Expectation Maximization. - Rajhans Samdani; Ming-Wei Chang; Dan Roth 001 (HLT-NAACL, 2012)

A Robust Shallow Temporal Reasoning System. - Ran Zhao; Quang Do; Dan Roth 001 (HLT-NAACL, 2012)

Sorting out the Most Confusing English Phrasal Verbs. - Yuancheng Tu; Dan Roth 001 (*SEM@NAACL-HLT, 2012)

Structured learning with constrained conditional models. - Ming-Wei Chang; Lev-Arie Ratinov; Dan Roth 001 (Mach. Learn., 2012)

Exploiting the Wikipedia structure in local and global classification of taxonomic relations. - Quang Xuan Do; Dan Roth 001 (Nat. Lang. Eng., 2012)

Computational Frameworks for Supporting Textual Inference. - Dan Roth 001 (JSSP, 2013)

Leveraging Domain-Independent Information in Semantic Parsing. - Dan Goldwasser; Dan Roth 001 (ACL (2), 2013)

Margin-based Decomposed Amortized Inference. - Gourab Kundu; Vivek Srikumar; Dan Roth 001 (ACL (1), 2013)

Computational frameworks for semantic analysis and wikification: keynote abstract. - Dan Roth 001 (ESAIR, 2013)

Concept-based analysis of scientific literature. - Chen-Tse Tsai; Gourab Kundu; Dan Roth 001 (CIKM, 2013)

The University of Illinois System in the CoNLL-2013 Shared Task. - Alla Rozovskaya; Kai-Wei Chang; Mark Sammons; Dan Roth 001 (CoNLL Shared Task, 2013)

A Constrained Latent Variable Model for Coreference Resolution. - Kai-Wei Chang; Rajhans Samdani; Dan Roth 001 (EMNLP, 2013)

Relational Inference for Wikification. - Xiao Cheng; Dan Roth 001 (EMNLP, 2013)

Using Soft Constraints in Joint Inference for Clinical Concept Recognition. - Prateek Jindal; Dan Roth 001 (EMNLP, 2013)

Joint Learning and Inference for Grammatical Error Correction. - Alla Rozovskaya; Dan Roth 001 (EMNLP, 2013)

End-to-End Coreference Resolution for Clinical Narratives. - Prateek Jindal; Dan Roth 001 (IJCAI, 2013)

Mining evidences for named entity disambiguation. - Yang Li 150; Chi Wang 001; Fangqiu Han; Jiawei Han 001; Dan Roth 001; Xifeng Yan (KDD, 2013)

Understanding evolution of research themes: a probabilistic generative model for citations. - Xiaolong Wang 009; Chengxiang Zhai; Dan Roth 001 (KDD, 2013)

Multi-core Structural SVM Training. - Kai-Wei Chang; Vivek Srikumar; Dan Roth 001 (ECML/PKDD (2), 2013)

Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems. - Xiao Cheng; Bingling Chen; Rajhans Samdani; Kai-Wei Chang; Zhiye Fei; Mark Sammons; John Wieting; Subhro Roy; Chizheng Wang; Dan Roth 001 (TAC, 2013)

RPI-BLENDER TAC-KBP2013 Knowledge Base Population System. - Dian Yu 001; Haibo Li 004; Taylor Cassidy; Qi Li 014; Hongzhao Huang; Zheng Chen 015; Heng Ji 001; Yongzhong Zhang; Dan Roth 001 (TAC, 2013)

Latent credibility analysis. - Jeff Pasternack; Dan Roth 001 (WWW, 2013)

An Inventory of Preposition Relations - Vivek Srikumar; Dan Roth 001 (CoRR, 2013)

Using domain knowledge and domain-inspired discourse model for coreference resolution for clinical narratives. - Prateek Jindal; Dan Roth 001 (J. Am. Medical Informatics Assoc., 2013)

Extraction of events and temporal expressions from clinical narratives. - Prateek Jindal; Dan Roth 001 (J. Biomed. Informatics, 2013)

Modeling Semantic Relations Expressed by Prepositions. - Vivek Srikumar; Dan Roth 001 (Trans. Assoc. Comput. Linguistics, 2013)

Recognizing Textual Entailment: Models and Applications - Ido Dagan; Dan Roth 001; Mark Sammons; Fabio Massimo Zanzotto (Recognizing Textual Entailment, 2013)

Starting from Scratch in Semantic Role Labeling: Early Indirect Supervision. - Michael Connor; Cynthia Fisher; Dan Roth 001 (Cognitive Aspects of Computational Language Acquisition, 2013)

On Dataless Hierarchical Text Classification. - Yangqiu Song; Dan Roth 001 (AAAI, 2014)

Wikification and Beyond: The Challenges of Entity and Concept Grounding. - Dan Roth 001; Heng Ji 001; Ming-Wei Chang; Taylor Cassidy (ACL (Tutorial Abstracts), 2014)

Detecting privacy-sensitive events in medical text. - Prateek Jindal; Carl A. Gunter; Dan Roth 001 (BCB, 2014)

Joint inference for end-to-end coreference resolution for clinical notes. - Prateek Jindal; Dan Roth 001; Carl A. Gunter (BCB, 2014)

The Illinois-Columbia System in the CoNLL-2014 Shared Task. - Alla Rozovskaya; Kai-Wei Chang; Mark Sammons; Dan Roth 001; Nizar Habash (CoNLL Shared Task, 2014)

Correcting Grammatical Verb Errors. - Alla Rozovskaya; Dan Roth 001; Vivek Srikumar (EACL, 2014)

A Discriminative Latent Variable Model for Online Clustering. - Rajhans Samdani; Kai-Wei Chang; Dan Roth 001 (ICML, 2014)

ILLINOISCLOUDNLP: Text Analytics Services in the Cloud. - Hao Wu 034; Zhiye Fei; Aaron Dai; Mark Sammons; Dan Roth 001; Stephen Mayhew 001 (LREC, 2014)

A text mining framework for advancing sustainability indicators. - Samuel J. Rivera; Barbara S. Minsker; Daniel B. Work; Dan Roth 001 (Environ. Model. Softw., 2014)

Soft-constrained inference for Named Entity Recognition. - Elisabetta Fersini; Enza Messina; Giovanni Felici; Dan Roth 001 (Inf. Process. Manag., 2014)

Provenance-Assisted Classification in Social Networks. - Dong Wang 002; Md. Tanvir Al Amin; Tarek F. Abdelzaher; Dan Roth 001; Clare R. Voss; Lance M. Kaplan; Stephen Tratz; Jamal Laoudi; Douglas M. Briesch (IEEE J. Sel. Top. Signal Process., 2014)

Introduction to the special issue on learning semantics. - Antoine Bordes; Léon Bottou; Ronan Collobert; Dan Roth 001; Jason Weston; Luke Zettlemoyer (Mach. Learn., 2014)

Learning from natural instructions. - Dan Goldwasser; Dan Roth 001 (Mach. Learn., 2014)

Building a State-of-the-Art Grammatical Error Correction System. - Alla Rozovskaya; Dan Roth 001 (Trans. Assoc. Comput. Linguistics, 2014)

Structural Learning with Amortized Inference. - Kai-Wei Chang; Shyam Upadhyay; Gourab Kundu; Dan Roth 001 (AAAI, 2015)

A Joint Framework for Coreference Resolution and Mention Head Detection. - Haoruo Peng; Kai-Wei Chang; Dan Roth 001 (CoNLL, 2015)

Improving a Pipeline Architecture for Shallow Discourse Parsing. - Yangqiu Song; Haoruo Peng; Parisa Kordjamshidi; Mark Sammons; Dan Roth 001 (CoNLL Shared Task, 2015)

Joint Mention Extraction and Classification with Mention Hypergraphs. - Wei Lu 011; Dan Roth 001 (EMNLP, 2015)

Solving General Arithmetic Word Problems. - Subhro Roy; Dan Roth 001 (EMNLP, 2015)

Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM. - Ching-Pei Lee; Dan Roth 001 (ICML, 2015)

Saul: Towards Declarative Learning Based Programming. - Parisa Kordjamshidi; Dan Roth 001; Hao Wu 034 (IJCAI, 2015)

Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations. - Chenguang Wang 001; Yangqiu Song; Dan Roth 001; Chi Wang 001; Jiawei Han 001; Heng Ji 001; Ming Zhang 004 (IJCAI, 2015)

Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks. - Chenguang Wang 001; Yangqiu Song; Ahmed El-Kishky; Dan Roth 001; Ming Zhang 004; Jiawei Han 001 (KDD, 2015)

Debiasing Crowdsourced Batches. - Honglei Zhuang; Aditya G. Parameswaran; Dan Roth 001; Jiawei Han 001 (KDD, 2015)

Solving Hard Coreference Problems. - Haoruo Peng; Daniel Khashabi; Dan Roth 001 (HLT-NAACL, 2015)

Unsupervised Sparse Vector Densification for Short Text Similarity. - Yangqiu Song; Dan Roth 001 (HLT-NAACL, 2015)

Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems. - Mark Sammons; Haoruo Peng; Yangqiu Song; Shyam Upadhyay; Chen-Tse Tsai; Pavankumar Reddy; Subhro Roy; Dan Roth 001 (TAC, 2015)

Visualization of Trustworthiness Graphs. - Stephen Mayhew 001; Dan Roth 001 (WWW (Companion Volume), 2015)

Structured learning for spatial information extraction from biomedical text: bacteria biotopes. - Parisa Kordjamshidi; Dan Roth 001; Marie-Francine Moens (BMC Bioinform., 2015)

IllinoisSL: A JAVA Library for Structured Prediction. - Kai-Wei Chang; Shyam Upadhyay; Ming-Wei Chang; Vivek Srikumar; Dan Roth 001 (CoRR, 2015)

Distributed Training of Structured SVM. - Ching-Pei Lee; Kai-Wei Chang; Shyam Upadhyay; Dan Roth 001 (CoRR, 2015)

Overcoming bias to learn about controversial topics. - V. G. Vinod Vydiswaran; ChengXiang Zhai; Dan Roth 001; Peter Pirolli (J. Assoc. Inf. Sci. Technol., 2015)

Reasoning about Quantities in Natural Language. - Subhro Roy; Tim Vieira; Dan Roth 001 (Trans. Assoc. Comput. Linguistics, 2015)

Labeling the Semantic Roles of Commas. - Naveen Arivazhagan; Christos Christodoulopoulos 001; Dan Roth 001 (AAAI, 2016)

Word Embeddings with Limited Memory. - Shaoshi Ling; Yangqiu Song; Dan Roth 001 (ACL (2), 2016)

Two Discourse Driven Language Models for Semantics. - Haoruo Peng; Dan Roth 001 (ACL (1), 2016)

Grammatical Error Correction: Machine Translation and Classifiers. - Alla Rozovskaya; Dan Roth 001 (ACL (1), 2016)

Cross-lingual Models of Word Embeddings: An Empirical Comparison. - Shyam Upadhyay; Manaal Faruqui; Chris Dyer; Dan Roth 001 (ACL (1), 2016)

"Making the News": Identifying Noteworthy Events in News Articles. - Shyam Upadhyay; Christos Christodoulopoulos 001; Dan Roth 001 (EVENTS@HLT-NAACL, 2016)

Better call Saul: Flexible Programming for Learning and Inference in NLP. - Parisa Kordjamshidi; Daniel Khashabi; Christos Christodoulopoulos 001; Bhargav Mangipudi; Sameer Singh 001; Dan Roth 001 (COLING, 2016)

Illinois Cross-Lingual Wikifier: Grounding Entities in Many Languages to the English Wikipedia. - Chen-Tse Tsai; Dan Roth 001 (COLING (Demos), 2016)

Revisiting the Evaluation for Cross Document Event Coreference. - Shyam Upadhyay; Nitish Gupta; Christos Christodoulopoulos 001; Dan Roth 001 (COLING, 2016)

Cross-Lingual Named Entity Recognition via Wikification. - Chen-Tse Tsai; Stephen Mayhew 001; Dan Roth 001 (CoNLL, 2016)

Event Detection and Co-reference with Minimal Supervision. - Haoruo Peng; Yangqiu Song; Dan Roth 001 (EMNLP, 2016)

Equation Parsing : Mapping Sentences to Grounded Equations. - Subhro Roy; Shyam Upadhyay; Dan Roth 001 (EMNLP, 2016)

Will I Get in? Modeling the Graduate Admission Process for American Universities. - Narender Gupta; Aman Sawhney; Dan Roth 001 (ICDM Workshops, 2016)

Question Answering via Integer Programming over Semi-Structured Knowledge. - Daniel Khashabi; Tushar Khot; Ashish Sabharwal; Peter Clark; Oren Etzioni; Dan Roth 001 (IJCAI, 2016)

Cross-Lingual Dataless Classification for Many Languages. - Yangqiu Song; Shyam Upadhyay; Haoruo Peng; Dan Roth 001 (IJCAI, 2016)

EDISON: Feature Extraction for NLP, Simplified. - Mark Sammons; Christos Christodoulopoulos 001; Parisa Kordjamshidi; Daniel Khashabi; Vivek Srikumar; Dan Roth 001 (LREC, 2016)

Illinois Math Solver: Math Reasoning on the Web. - Subhro Roy; Dan Roth 001 (HLT-NAACL Demos, 2016)

Cross-lingual Wikification Using Multilingual Embeddings. - Chen-Tse Tsai; Dan Roth 001 (HLT-NAACL, 2016)

Learning invariants using decision trees and implication counterexamples. - Pranav Garg 001; Daniel Neider; P. Madhusudan; Dan Roth 001 (POPL, 2016)

Illinois CCG Entity Discovery and Linking, Event Nugget Detection and Co-reference, and Slot Filler Validation Systems for TAC 2016. - Chen-Tse Tsai; Stephen Mayhew 001; Haoruo Peng; Mark Sammons; Bhargav Mangipudi; Pavankumar Reddy; Dan Roth 001 (TAC, 2016)

Entity Disambiguation with Linkless Knowledge Bases. - Yang Li 150; Shulong Tan; Huan Sun 001; Jiawei Han 001; Dan Roth 001; Xifeng Yan (WWW, 2016)

Reports of the 2016 AAAI Workshop Program. - Stefano V. Albrecht; Bruno Bouchard 001; John S. Brownstein; David L. Buckeridge; Cornelia Caragea; Kevin M. Carter 001; Adnan Darwiche; Blaz Fortuna; Yannick Francillette; Sébastien Gaboury; C. Lee Giles; Marko Grobelnik; et al. (AI Mag., 2016)

Transliteration in Any Language with Surrogate Languages. - Stephen Mayhew 001; Christos Christodoulopoulos 001; Dan Roth 001 (CoRR, 2016)

Cross-lingual Dataless Classification for Languages with Small Wikipedia Presence. - Yangqiu Song; Stephen Mayhew 001; Dan Roth 001 (CoRR, 2016)

litewi: A combined term extraction and entity linking method for eliciting educational ontologies from textbooks. - Angel Conde; Mikel Larrañaga; Ana Arruarte; Jon A. Elorriaga; Dan Roth 001 (J. Assoc. Inf. Sci. Technol., 2016)

Concept Grounding to Multiple Knowledge Bases via Indirect Supervision. - Chen-Tse Tsai; Dan Roth 001 (Trans. Assoc. Comput. Linguistics, 2016)

World Knowledge as Indirect Supervision for Document Clustering. - Chenguang Wang 001; Yangqiu Song; Dan Roth 001; Ming Zhang 004; Jiawei Han 001 (ACM Trans. Knowl. Discov. Data, 2016)

Integer Linear Programming for Coreference Resolution. - Nick Rizzolo; Dan Roth 001 (Anaphora Resolution - Algorithms, Resources, and Applications, 2016)

Active Preference Elicitation for Planning. - Mayukh Das; Md. Rakibul Islam 001; Janardhan Rao Doppa; Dan Roth 001; Sriraam Natarajan (AAAI Workshops, 2017)

Incidental Supervision: Moving beyond Supervised Learning. - Dan Roth 001 (AAAI, 2017)

Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving. - Subhro Roy; Dan Roth 001 (AAAI, 2017)

Towards Problem Solving Agents that Communicate and Learn. - Anjali Narayan-Chen; Colin Graber; Mayukh Das; Md. Rakibul Islam 001; Soham Dan; Sriraam Natarajan; Janardhan Rao Doppa; Julia Hockenmaier; Martha Palmer; Dan Roth 001 (RoboNLP@ACL, 2017)

Learning What is Essential in Questions. - Daniel Khashabi; Tushar Khot; Ashish Sabharwal; Dan Roth 001 (CoNLL, 2017)

A Joint Model for Semantic Sequences: Frames, Entities, Sentiments. - Haoruo Peng; Snigdha Chaturvedi; Dan Roth 001 (CoNLL, 2017)

A Consolidated Open Knowledge Representation for Multiple Texts. - Rachel Wities; Vered Shwartz; Gabriel Stanovsky; Meni Adler; Ori Shapira; Shyam Upadhyay; Dan Roth 001; Eugenio Martínez-Cámara; Iryna Gurevych; Ido Dagan (LSDSem@EACL, 2017)

Story Comprehension for Predicting What Happens Next. - Snigdha Chaturvedi; Haoruo Peng; Dan Roth 001 (EMNLP, 2017)

Entity Linking via Joint Encoding of Types, Descriptions, and Context. - Nitish Gupta; Sameer Singh 001; Dan Roth 001 (EMNLP, 2017)

Cheap Translation for Cross-Lingual Named Entity Recognition. - Stephen Mayhew 001; Chen-Tse Tsai; Dan Roth 001 (EMNLP, 2017)

A Structured Learning Approach to Temporal Relation Extraction. - Qiang Ning; Zhili Feng; Dan Roth 001 (EMNLP, 2017)

TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. - Mohamed Al-Badrashiny; Jason Bolton; Arun Tejasvi Chaganty; Kevin Clark; Craig Harman; Lifu Huang; Matthew Lamm; Jinhao Lei; Di Lu 003; Xiaoman Pan; Ashwin Paranjape; Ellie Pavlick; et al. (TAC, 2017)

UI CCG TAC-KBP2017 Submissions: Entity Discovery and Linking, and Event Nugget Detection and Co-reference. - Chase Duncan; Liang-Wei Chan; Haoruo Peng; Hao Wu 034; Shyam Upadhyay; Nitish Gupta; Chen-Tse Tsai; Mark Sammons; Dan Roth 001 (TAC, 2017)

Adapting to Learner Errors with Minimal Supervision. - Alla Rozovskaya; Dan Roth 001; Mark Sammons (Comput. Linguistics, 2017)

Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks. - Parisa Kordjamshidi; Sameer Singh 001; Daniel Khashabi; Christos Christodoulopoulos 001; Mark Sammons; Saurabh Sinha; Dan Roth 001 (CoRR, 2017)

Machine Learning with World Knowledge: The Position and Survey. - Yangqiu Song; Dan Roth 001 (CoRR, 2017)

Question Answering as Global Reasoning Over Semantic Abstractions. - Daniel Khashabi; Tushar Khot; Ashish Sabharwal; Dan Roth 001 (AAAI, 2018)

Learning Better Name Translation for Cross-Lingual Wikification. - Chen-Tse Tsai; Dan Roth 001 (AAAI, 2018)

TALEN: Tool for Annotation of Low-resource ENtities. - Stephen Mayhew 001; Dan Roth 001 (ACL (4), 2018)

A Distributional and Orthographic Aggregation Model for English Derivational Morphology. - Daniel Deutsch; John Hewitt; Dan Roth 001 (ACL (1), 2018)

A Multi-Axis Annotation Scheme for Event Temporal Relations. - Qiang Ning; Hao Wu 034; Dan Roth 001 (ACL (1), 2018)

Joint Reasoning for Temporal and Causal Relations. - Qiang Ning; Zhili Feng; Hao Wu 034; Dan Roth 001 (ACL (1), 2018)

Multi-lingual Entity Discovery and Linking. - Avirup Sil; Heng Ji 001; Dan Roth 001; Silviu-Petru Cucerzan (ACL (5), 2018)

End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions. - Wenpeng Yin 001; Dan Roth 001; Hinrich Schütze (ACL (2), 2018)

Preference-Guided Planning: An Active Elicitation Approach. - Mayukh Das; Phillip Odom; Md. Rakibul Islam 001; Janardhan Rao Doppa; Dan Roth 001; Sriraam Natarajan (AAMAS, 2018)

Gold Standard Annotations for Preposition and Verb Sense with Semantic Role Labels in Adult-Child Interactions. - Lori Moon; Christos Christodoulopoulos 001; Cynthia Fisher; Sandra Franco; Dan Roth 001 (COLING, 2018)

TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification. - Wenpeng Yin 001; Dan Roth 001 (EMNLP, 2018)

CogCompTime: A Tool for Understanding Time in Natural Language. - Qiang Ning; Ben Zhou; Zhili Feng; Haoruo Peng; Dan Roth 001 (EMNLP (Demonstration), 2018)

Joint Multilingual Supervision for Cross-lingual Entity Linking. - Shyam Upadhyay; Nitish Gupta; Dan Roth 001 (EMNLP, 2018)

Bootstrapping Transliteration with Guided Discovery for Low-Resource Languages. - Shyam Upadhyay; Jordan Kodner; Dan Roth 001 (EMNLP, 2018)

On the Strength of Character Language Models for Multilingual Named Entity Recognition. - Xiaodong Yu 003; Stephen Mayhew 001; Mark Sammons; Dan Roth 001 (EMNLP, 2018)

Zero-Shot Open Entity Typing as Type-Compatible Grounding. - Ben Zhou; Daniel Khashabi; Chen-Tse Tsai; Dan Roth 001 (EMNLP, 2018)

Systems AI: A Declarative Learning Based Programming Perspective. - Parisa Kordjamshidi; Dan Roth 001; Kristian Kersting (IJCAI, 2018)

CogCompNLP: Your Swiss Army Knife for NLP. - Daniel Khashabi; Mark Sammons; Ben Zhou; Tom Redman; Christos Christodoulopoulos 001; Vivek Srikumar; Nicholas Rizzolo; Lev-Arie Ratinov; Guanheng Luo; Quang Do; Chen-Tse Tsai; Subhro Roy; et al. (LREC, 2018)

Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes. - Snigdha Chaturvedi; Shashank Srivastava; Dan Roth 001 (NAACL-HLT (2), 2018)

Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences. - Daniel Khashabi; Snigdha Chaturvedi; Michael Roth 001; Shyam Upadhyay; Dan Roth 001 (NAACL-HLT, 2018)

Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource. - Qiang Ning; Hao Wu 034; Haoruo Peng; Dan Roth 001 (NAACL-HLT, 2018)

Robust Cross-Lingual Hypernymy Detection Using Dependency Context. - Shyam Upadhyay; Yogarshi Vyas; Marine Carpuat; Dan Roth 001 (NAACL-HLT, 2018)

Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems. - Mrinmaya Sachan; Kumar Avinava Dubey; Tom M. Mitchell; Dan Roth 001; Eric P. Xing (NeurIPS, 2018)

Robust Handling of Polysemy via Sparse Representations. - Abhijit Mahabal; Dan Roth 001; Sid Mittal (*SEM@NAACL-HLT, 2018)

Exploiting Partially Annotated Data in Temporal Relation Extraction. - Qiang Ning; Zhongzhi Yu; Chuchu Fan; Dan Roth 001 (*SEM@NAACL-HLT, 2018)

Term Definitions Help Hypernymy Detection. - Wenpeng Yin 001; Dan Roth 001 (*SEM@NAACL-HLT, 2018)

End-Task Oriented Textual Entailment via Deep Exploring Inter-Sentence Interactions. - Wenpeng Yin 001; Dan Roth 001; Hinrich Schütze (CoRR, 2018)

Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages. - Shyam Upadhyay; Jordan Kodner; Dan Roth 001 (CoRR, 2018)

Named Person Coreference in English News. - Oshin Agarwal; Sanjay Subramanian; Ani Nenkova; Dan Roth 001 (CoRR, 2018)

Discourse in Multimedia: A Case Study in Information Extraction. - Mrinmaya Sachan; Kumar Avinava Dubey; Eduard H. Hovy; Tom M. Mitchell; Dan Roth 001; Eric P. Xing (CoRR, 2018)

Illinois CCG LoReHLT 2016 named entity recognition and situation frame systems. - Chen-Tse Tsai; Stephen Mayhew 001; Yangqiu Song; Mark Sammons; Dan Roth 001 (Mach. Transl., 2018)

Mapping to Declarative Knowledge for Word Problem Solving. - Subhro Roy; Dan Roth 001 (Trans. Assoc. Comput. Linguistics, 2018)

BSNLP2019 Shared Task Submission: Multisource Neural NER Transfer. - Tatiana Tsygankova; Stephen Mayhew 001; Dan Roth 001 (BSNLP@ACL, 2019)

PerspectroScope: A Window to the World of Diverse Perspectives. - Sihao Chen; Daniel Khashabi; Chris Callison-Burch; Dan Roth 001 (ACL (3), 2019)

How Large Are Lions? Inducing Distributions over Quantitative Attributes. - Yanai Elazar; Abhijit Mahabal; Deepak Ramachandran; Tania Bedrax-Weiss; Dan Roth 001 (ACL (1), 2019)

Evidence-based Trustworthiness. - Yi Zhang 001; Zachary G. Ives; Dan Roth 001 (ACL (1), 2019)

A General-Purpose Algorithm for Constrained Sequential Inference. - Daniel Deutsch; Shyam Upadhyay; Dan Roth 001 (CoNLL, 2019)

Named Entity Recognition with Partially Annotated Training Data. - Stephen Mayhew 001; Snigdha Chaturvedi; Chen-Tse Tsai; Dan Roth 001 (CoNLL, 2019)

KnowSemLM: A Knowledge Infused Semantic Language Model. - Haoruo Peng; Qiang Ning; Dan Roth 001 (CoNLL, 2019)

Evidence Sentence Extraction for Machine Reading Comprehension. - Hai Wang 013; Dian Yu 001; Kai Sun 006; Jianshu Chen; Dong Yu 001; David A. McAllester; Dan Roth 001 (CoNLL, 2019)

Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization. - Daniel Deutsch; Dan Roth 001 (EMNLP/IJCNLP (1), 2019)

ner and pos when nothing is capitalized. - Stephen Mayhew 001; Tatiana Tsygankova; Dan Roth 001 (EMNLP/IJCNLP (1), 2019)

An Improved Neural Baseline for Temporal Relation Extraction. - Qiang Ning; Sanjay Subramanian; Dan Roth 001 (EMNLP/IJCNLP (1), 2019)

Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. - Wenpeng Yin 001; Jamaal Hay; Dan Roth 001 (EMNLP/IJCNLP (1), 2019)

"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding. - Ben Zhou; Daniel Khashabi; Qiang Ning; Dan Roth 001 (EMNLP/IJCNLP (1), 2019)

Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning. - Chao Ma 001; F. A. Rezaur Rahman Chowdhury; Aryan Deshwal; Md. Rakibul Islam 001; Janardhan Rao Doppa; Dan Roth 001 (IJCAI, 2019)

Learning and Inference for Structured Prediction: A Unifying Perspective. - Aryan Deshwal; Janardhan Rao Doppa; Dan Roth 001 (IJCAI, 2019)

DiAd: Domain Adaptation for Learning at Scale. - Ziheng Zeng; Snigdha Chaturvedi; Suma Bhat; Dan Roth 001 (LAK, 2019)

Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. - Sihao Chen; Daniel Khashabi; Wenpeng Yin 001; Chris Callison-Burch; Dan Roth 001 (NAACL-HLT (1), 2019)

Text Classification with Few Examples using Controlled Generalization. - Abhijit Mahabal; Jason Baldridge; Burcu Karagol Ayan; Vincent Perot; Dan Roth 001 (NAACL-HLT (1), 2019)

Partial Or Complete, That's The Question. - Qiang Ning; Hangfeng He 001; Chuchu Fan; Dan Roth 001 (NAACL-HLT (1), 2019)

Improving Generalization in Coreference Resolution via Adversarial Training. - Sanjay Subramanian; Dan Roth 001 (*SEM@NAACL-HLT, 2019)

Toward any-language zero-shot topic classification of textual documents. - Yangqiu Song; Shyam Upadhyay; Haoruo Peng; Stephen Mayhew 001; Dan Roth 001 (Artif. Intell., 2019)

Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks. - Mrinmaya Sachan; Avinava Dubey; Eduard H. Hovy; Tom M. Mitchell; Dan Roth 001; Eric P. Xing (Comput. Linguistics, 2019)

On the Capabilities and Limitations of Reasoning for Natural Language Understanding. - Daniel Khashabi; Erfan Sadeqi Azer; Tushar Khot; Ashish Sabharwal; Dan Roth 001 (CoRR, 2019)

CogCompTime: A Tool for Understanding Time in Natural Language Text. - Qiang Ning; Ben Zhou; Zhili Feng; Haoruo Peng; Dan Roth 001 (CoRR, 2019)

Incidental Supervision from Question-Answering Signals. - Hangfeng He 001; Qiang Ning; Dan Roth 001 (CoRR, 2019)

Not All Claims are Created Equal: Choosing the Right Approach to Assess Your Hypotheses. - Erfan Sadeqi Azer; Daniel Khashabi; Ashish Sabharwal; Dan Roth 001 (CoRR, 2019)

Multi-Document Information Consolidation (Dagstuhl Seminar 19182). - Ido Dagan; Iryna Gurevych; Dan Roth 001; Amanda Stent (Dagstuhl Reports, 2019)

Planning with actively eliciting preferences. - Mayukh Das; Phillip Odom; Md. Rakibul Islam 001; Janardhan Rao Doppa; Dan Roth 001; Sriraam Natarajan (Knowl. Based Syst., 2019)

Grammar Error Correction in Morphologically-Rich Languages: The Case of Russian. - Alla Rozovskaya; Dan Roth 001 (Trans. Assoc. Comput. Linguistics, 2019)

Robust Named Entity Recognition with Truecasing Pretraining. - Stephen Mayhew 001; Nitish Gupta; Dan Roth 001 (AAAI, 2020)

Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses. - Erfan Sadeqi Azer; Daniel Khashabi; Ashish Sabharwal; Dan Roth 001 (ACL, 2020)

QuASE: Question-Answer Driven Sentence Encoding. - Hangfeng He 001; Qiang Ning; Dan Roth 001 (ACL, 2020)

Commonsense Reasoning for Natural Language Processing. - Maarten Sap; Vered Shwartz; Antoine Bosselut; Yejin Choi 001; Dan Roth 001 (ACL (tutorial), 2020)

"Who said it, and Why?" Provenance for Natural Language Claims. - Yi Zhang 001; Zachary G. Ives; Dan Roth 001 (ACL, 2020)

Temporal Common Sense Acquisition with Minimal Supervision. - Ben Zhou; Qiang Ning; Daniel Khashabi; Dan Roth 001 (ACL, 2020)

Do Language Embeddings capture Scales? - Xikun Zhang 001; Deepak Ramachandran; Ian Tenney; Yanai Elazar; Dan Roth 001 (BlackboxNLP@EMNLP, 2020)

Is Killed More Significant than Fled? A Contextual Model for Salient Event Detection. - Disha Jindal; Daniel Deutsch; Dan Roth 001 (COLING, 2020)

QANom: Question-Answer driven SRL for Nominalizations. - Ayal Klein; Jonathan Mamou; Valentina Pyatkin; Daniela Stepanov; Hangfeng He 001; Dan Roth 001; Luke Zettlemoyer; Ido Dagan (COLING, 2020)

What Are You Trying to Do? Semantic Typing of Event Processes. - Muhao Chen 001; Hongming Zhang 009; Haoyu Wang 005; Dan Roth 001 (CoNLL, 2020)

Design Challenges in Low-resource Cross-lingual Entity Linking. - Xingyu Fu; Weijia Shi; Xiaodong Yu 003; Zian Zhao; Dan Roth 001 (EMNLP (1), 2020)

Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior. - Zi Lin; Jeremiah Z. Liu; Zi Yang; Nan Hua; Dan Roth 001 (EMNLP (Findings), 2020)

"I'd rather just go to bed": Understanding Indirect Answers. - Annie Louis; Dan Roth 001; Filip Radlinski (EMNLP (1), 2020)

TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. - Qiang Ning; Hao Wu 034; Rujun Han; Nanyun Peng 001; Matt Gardner 001; Dan Roth 001 (EMNLP (1), 2020)

What do we expect from Multiple-choice QA Systems? - Krunal Shah; Nitish Gupta; Dan Roth 001 (EMNLP (Findings), 2020)

Joint Constrained Learning for Event-Event Relation Extraction. - Haoyu Wang 005; Muhao Chen 001; Hongming Zhang 009; Dan Roth 001 (EMNLP (1), 2020)

Extending Multilingual BERT to Low-Resource Languages. - Zihan Wang 001; Karthikeyan K; Stephen Mayhew 001; Dan Roth 001 (EMNLP (Findings), 2020)

Analogous Process Structure Induction for Sub-event Sequence Prediction. - Hongming Zhang 009; Muhao Chen 001; Haoyu Wang 005; Yangqiu Song; Dan Roth 001 (EMNLP (1), 2020)

Neural Module Networks for Reasoning over Text. - Nitish Gupta; Kevin Lin; Dan Roth 001; Sameer Singh 001; Matt Gardner 001 (ICLR, 2020)

Cross-Lingual Ability of Multilingual BERT: An Empirical Study. - Karthikeyan K; Zihan Wang 001; Stephen Mayhew 001; Dan Roth 001 (ICLR, 2020)

TransOMCS: From Linguistic Graphs to Commonsense Knowledge. - Hongming Zhang 009; Daniel Khashabi; Yangqiu Song; Dan Roth 001 (IJCAI, 2020)

Understanding Spatial Relations through Multiple Modalities. - Soham Dan; Hangfeng He 001; Dan Roth 001 (LREC, 2020)

From Spatial Relations to Spatial Configurations. - Soham Dan; Parisa Kordjamshidi; Julia Bonn; Archna Bhatia; Zheng Cai; Martha Palmer; Dan Roth 001 (LREC, 2020)

Learnability with Indirect Supervision Signals. - Kaifu Wang; Qiang Ning; Dan Roth 001 (NeurIPS, 2020)

Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text. - Muhao Chen 001; Weijia Shi; Ben Zhou; Dan Roth 001 (CoRR, 2020)

Foreshadowing the Benefits of Incidental Supervision. - Hangfeng He 001; Mingyuan Zhang; Qiang Ning; Dan Roth 001 (CoRR, 2020)

Building Low-Resource NER Models Using Non-Speaker Annotation. - Tatiana Tsygankova; Francesca Marini; Stephen Mayhew 001; Dan Roth 001 (CoRR, 2020)

SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics. - Daniel Deutsch; Dan Roth 001 (CoRR, 2020)

From Spatial Relations to Spatial Configurations. - Soham Dan; Parisa Kordjamshidi; Julia Bonn; Archna Bhatia; Jon Z. Cai; Martha Palmer; Dan Roth 001 (CoRR, 2020)

Understanding the Extent to which Summarization Evaluation Metrics Measure the Information Quality of Summaries. - Daniel Deutsch; Dan Roth 001 (CoRR, 2020)

Paired Representation Learning for Event and Entity Coreference. - Xiaodong Yu 003; Wenpeng Yin 001; Dan Roth 001 (CoRR, 2020)

Learning Contextual Causality from Time-consecutive Images. - Hongming Zhang 009; Yintong Huo; Xinran Zhao; Yangqiu Song; Dan Roth 001 (CoRR, 2020)

Unsupervised Label-aware Event Trigger and Argument Classification. - Hongming Zhang 009; Haoyu Wang 005; Dan Roth 001 (CoRR, 2020)

Task-Oriented Dialogue as Dataflow Synthesis. - Jacob Andreas; John Bufe; David Burkett; Charles Chen; Josh Clausman; Jean Crawford; Kate Crim; Jordan DeLoach; Leah Dorner; Jason Eisner; Hao Fang 002; Alan Guo; et al. (Trans. Assoc. Comput. Linguistics, 2020)

Visual Pivoting for (Unsupervised) Entity Alignment. - Fangyu Liu 001; Muhao Chen 001; Dan Roth 001; Nigel Collier (AAAI, 2021)

Constrained Labeled Data Generation for Low-Resource Named Entity Recognition. - Ruohao Guo; Dan Roth 001 (ACL/IJCNLP (Findings), 2021)

Zero-shot Event Extraction via Transfer Learning: Challenges and Insights. - Qing Lyu 001; Hongming Zhang 009; Elior Sulem; Dan Roth 001 (ACL/IJCNLP (2), 2021)

Coreference Reasoning in Machine Reading Comprehension. - Mingzhu Wu; Nafise Sadat Moosavi; Dan Roth 001; Iryna Gurevych (ACL/IJCNLP (1), 2021)

What is Your Article Based On? Inferring Fine-grained Provenance. - Yi Zhang 001; Zachary G. Ives; Dan Roth 001 (ACL/IJCNLP (1), 2021)

Zero-shot Label-Aware Event Trigger and Argument Classification. - Hongming Zhang 009; Haoyu Wang 005; Dan Roth 001 (ACL/IJCNLP (Findings), 2021)

Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries. - Daniel Deutsch; Dan Roth 001 (CoNLL, 2021)

BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language. - Philip A. Huebner; Elior Sulem; Cynthia Fisher; Dan Roth 001 (CoNLL, 2021)

Learning Contextual Causality Between Daily Events From Time-Consecutive Images. - Hongming Zhang 009; Yintong Huo; Xinran Zhao; Yangqiu Song; Dan Roth 001 (CVPR Workshops, 2021)

Cross-lingual Entity Alignment with Incidental Supervision. - Muhao Chen 001; Weijia Shi; Ben Zhou; Dan Roth 001 (EACL, 2021)

How Good (really) are Grammatical Error Correction Systems? - Alla Rozovskaya; Dan Roth 001 (EACL, 2021)

Few-Shot Novel Concept Learning for Semantic Parsing. - Soham Dan; Osbert Bastani; Dan Roth 001 (EMNLP (Findings), 2021)

Compositional Data and Task Augmentation for Instruction Following. - Soham Dan; Xinran Han; Dan Roth 001 (EMNLP (Findings), 2021)

On the Effects of Transformer Size on In- and Out-of-Domain Calibration. - Soham Dan; Dan Roth 001 (EMNLP (Findings), 2021)

Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema. - Yanai Elazar; Hongming Zhang 009; Yoav Goldberg; Dan Roth 001 (EMNLP (1), 2021)

Paired Examples as Indirect Supervision in Latent Decision Models. - Nitish Gupta; Sameer Singh 001; Matt Gardner 001; Dan Roth 001 (EMNLP (1), 2021)

ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations. - Rujun Han; I-Hung Hsu; Jiao Sun; Julia Baylon; Qiang Ning; Dan Roth 001; Nanyun Peng 001 (EMNLP (1), 2021)

Foreseeing the Benefits of Incidental Supervision. - Hangfeng He 001; Mingyuan Zhang; Qiang Ning; Dan Roth 001 (EMNLP (1), 2021)

Do We Know What We Don't Know? Studying Unanswerable Questions beyond SQuAD 2.0. - Elior Sulem; Jamaal Hay; Dan Roth 001 (EMNLP (Findings), 2021)

Learning Constraints and Descriptive Segmentation for Subevent Detection. - Haoyu Wang 005; Hongming Zhang 009; Muhao Chen 001; Dan Roth 001 (EMNLP (1), 2021)

Context-Based Quotation Recommendation. - Ansel MacLaughlin; Tao Chen; Burcu Karagol Ayan; Dan Roth 001 (ICWSM, 2021)

Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection. - Sihao Chen; Fan Zhang 095; Kazoo Sone; Dan Roth 001 (NAACL-HLT, 2021)

Generalization in Instruction Following Systems. - Soham Dan; Michael Zhou; Dan Roth 001 (NAACL-HLT, 2021)

MultiOpEd: A Corpus of Multi-Perspective News Editorials. - Siyi Liu; Sihao Chen; Xander Uyttendaele; Dan Roth 001 (NAACL-HLT, 2021)

RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. - Haoyang Wen; Ying Lin; Tuan Manh Lai; Xiaoman Pan; Sha Li; Xudong Lin 003; Ben Zhou; Manling Li; Haoyu Wang 005; Hongming Zhang 009; Xiaodong Yu 003; Alexander Dong; et al. (NAACL-HLT (Demonstrations), 2021)

Event Time Extraction and Propagation via Graph Attention Networks. - Haoyang Wen; Yanru Qu; Heng Ji 001; Qiang Ning; Jiawei Han 001; Avi Sil; Hanghang Tong; Dan Roth 001 (NAACL-HLT, 2021)

Learning to Decompose and Organize Complex Tasks. - Yi Zhang 001; Sujay Kumar Jauhar; Julia Kiseleva; Ryen White; Dan Roth 001 (NAACL-HLT, 2021)

Temporal Reasoning on Implicit Events from Distant Supervision. - Ben Zhou; Kyle Richardson 001; Qiang Ning; Tushar Khot; Ashish Sabharwal; Dan Roth 001 (NAACL-HLT, 2021)

SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables. - Nafise Sadat Moosavi; Andreas Rücklé; Dan Roth 001; Iryna Gurevych (NeurIPS Datasets and Benchmarks, 2021)

Back to Square One: Bias Detection, Training and Commonsense Disentanglement in the Winograd Schema. - Yanai Elazar; Hongming Zhang 009; Yoav Goldberg; Dan Roth 001 (CoRR, 2021)

Learning to Reason for Text Generation from Scientific Tables. - Nafise Sadat Moosavi; Andreas Rücklé; Dan Roth 001; Iryna Gurevych (CoRR, 2021)

ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning. - Rujun Han; I-Hung Hsu; Jiao Sun; Julia Baylon; Qiang Ning; Dan Roth 001; Nanyun Peng 001 (CoRR, 2021)

Toward Code Generation: A Survey and Lessons from Semantic Parsing. - Celine Lee; Justin Gottschlich; Dan Roth 001 (CoRR, 2021)

Question-Based Salient Span Selection for More Controllable Text Summarization. - Daniel Deutsch; Dan Roth 001 (CoRR, 2021)

Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary. - Daniel Deutsch; Tania Bedrax-Weiss; Dan Roth 001 (Trans. Assoc. Comput. Linguistics, 2021)

A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods. - Daniel Deutsch; Rotem Dror; Dan Roth 001 (Trans. Assoc. Comput. Linguistics, 2021)

Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies. - Mor Geva; Daniel Khashabi; Elad Segal; Tushar Khot; Dan Roth 001; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2021)

Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics. - Daniel Deutsch; Dan Roth 001 (ACL (Findings), 2022)

There's a Time and Place for Reasoning Beyond the Image. - Xingyu Fu; Ben Zhou; Ishaan Preetam Chandratreya; Carl Vondrick; Dan Roth 001 (ACL (1), 2022)

DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. - Zheng Li; Zijian Wang 002; Ming Tan; Ramesh Nallapati; Parminder Bhatia; Andrew O. Arnold; Bing Xiang; Dan Roth 001 (ACL (2), 2022)

Label Semantics for Few Shot Named Entity Recognition. - Jie Ma 005; Miguel Ballesteros; Srikanth Doss; Rishita Anubhai; Sunil Mallya; Yaser Al-Onaizan; Dan Roth 001 (ACL (Findings), 2022)

Label Semantic Aware Pre-training for Few-shot Text Classification. - Aaron Mueller; Jason Krone; Salvatore Romeo; Saab Mansour; Elman Mansimov; Yi Zhang 001; Dan Roth 001 (ACL (1), 2022)

Quantifying Clinical Outcome Measures in Patients with Epilepsy Using the Electronic Health Record. - Kevin Xie; Brian Litt; Dan Roth 001; Colin A. Ellis (BioNLP@ACL, 2022)

Cross-modal Map Learning for Vision and Language Navigation. - Georgios Georgakis; Karl Schmeckpeper; Karan Wanchoo; Soham Dan; Eleni Miltsakaki; Dan Roth 001; Kostas Daniilidis (CVPR, 2022)

LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval. - William Bruno; Dan Roth 001 (EMNLP (Findings), 2022)

On the Limitations of Reference-Free Evaluations of Generated Text. - Daniel Deutsch; Rotem Dror; Dan Roth 001 (EMNLP, 2022)

Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts. - Ben Zhou; Kyle Richardson 001; Xiaodong Yu 003; Dan Roth 001 (EMNLP, 2022)

Weighted Training for Cross-Task Learning. - Shuxiao Chen; Koby Crammer; Hangfeng He 001; Dan Roth 001; Weijie J. Su (ICLR, 2022)

ROCK: Causal Inference Principles for Reasoning about Commonsense Causality. - Jiayao Zhang 001; Hongming Zhang 009; Weijie J. Su; Dan Roth 001 (ICML, 2022)

Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. - Uri Alon 002; Frank F. Xu; Junxian He; Sudipta Sengupta; Dan Roth 001; Graham Neubig (ICML, 2022)

Understanding Robust Generalization in Learning Regular Languages. - Soham Dan; Osbert Bastani; Dan Roth 001 (ICML, 2022)

What Do Users Care About? Detecting Actionable Insights from User Feedback. - Kasturi Bhattacharjee; Rashmi Gangadharaiah; Kathleen R. McKeown; Dan Roth 001 (NAACL-HLT (Industry Papers), 2022)

Design Challenges for a Multi-Perspective Search Engine. - Sihao Chen; Siyi Liu; Xander Uyttendaele; Yi Zhang 001; William Bruno; Dan Roth 001 (NAACL-HLT (Findings), 2022)

Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics. - Daniel Deutsch; Rotem Dror; Dan Roth 001 (NAACL-HLT, 2022)

PerKGQA: Question Answering over Personalized Knowledge Graphs. - Ritam Dutt; Kasturi Bhattacharjee; Rashmi Gangadharaiah; Dan Roth 001; Carolyn P. Rosé (NAACL-HLT (Findings), 2022)

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Rui Dong; Xiaokai Wei; Henghui Zhu; Xinchi Chen; Peng Xu; Zhiheng Huang; Andrew O. Arnold; Dan Roth 001 (NAACL-HLT (Findings), 2022)

Yes, No or IDK: The Challenge of Unanswerable Yes/No Questions. - Elior Sulem; Jamaal Hay; Dan Roth 001 (NAACL-HLT, 2022)

Capturing the Content of a Document through Complex Event Identification. - Zheng Qi; Elior Sulem; Haoyu Wang 005; Xiaodong Yu 003; Dan Roth 001 (*SEM@NAACL-HLT, 2022)

Pairwise Representation Learning for Event Coreference. - Xiaodong Yu 003; Wenpeng Yin 001; Dan Roth 001 (*SEM@NAACL-HLT, 2022)

Causal Inference Principles for Reasoning about Commonsense Causality. - Jiayao Zhang 001; Hongming Zhang 009; Dan Roth 001; Weijie J. Su (CoRR, 2022)

There is a Time and Place for Reasoning Beyond the Image. - Xingyu Fu; Ben Zhou; Ishaan Preetam Chandratreya; Carl Vondrick; Dan Roth 001 (CoRR, 2022)

Repro: An Open-Source Library for Improving the Reproducibility and Usability of Publicly Available Research Code. - Daniel Deutsch; Dan Roth 001 (CoRR, 2022)

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Rui Dong; Xiaokai Wei; Henry Zhu; Xinchi Chen; Zhiheng Huang; Peng Xu; Andrew O. Arnold; Dan Roth 001 (CoRR, 2022)

Human-guided Collaborative Problem Solving: A Natural Language based Framework. - Harsha Kokel; Mayukh Das; Md. Rakibul Islam 001; Julia Bonn; Jon Z. Cai; Soham Dan; Anjali Narayan-Chen; Prashant Jayannavar; Janardhan Rao Doppa; Julia Hockenmaier; Sriraam Natarajan; Martha Palmer; et al. (CoRR, 2022)

Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters. - Vinayshekhar Bannihatti Kumar; Rashmi Gangadharaiah; Dan Roth 001 (CoRR, 2022)

Are All Steps Equally Important? Benchmarking Essentiality Detection of Events. - Hongming Zhang 009; Yueguan Wang; Yuqian Deng; Haoyu Wang 005; Muhao Chen 001; Dan Roth 001 (CoRR, 2022)

Cross-Lingual Speaker Identification Using Distant Supervision. - Ben Zhou; Dian Yu 001; Dong Yu 001; Dan Roth 001 (CoRR, 2022)

Multi-lingual Evaluation of Code Generation Models. - Ben Athiwaratkun; Sanjay Krishna Gouda; Zijian Wang 002; Xiaopeng Li 002; Yuchen Tian; Ming Tan; Wasi Uddin Ahmad; Shiqi Wang 002; Qing Sun; Mingyue Shang; Sujan Kumar Gonugondla; Hantian Ding; et al. (CoRR, 2022)

Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach. - Jiayao Zhang 001; Hongming Zhang 009; Zhun Deng; Dan Roth 001 (CoRR, 2022)

Dialog2API: Task-Oriented Dialogue with API Description and Example Programs. - Raphael Shu; Elman Mansimov; Tamer Alkhouli; Nikolaos Pappas 004; Salvatore Romeo; Arshit Gupta; Saab Mansour; Yi Zhang 001; Dan Roth 001 (CoRR, 2022)

Declarative Learning-Based Programming as an Interface to AI Systems. - Parisa Kordjamshidi; Dan Roth 001; Kristian Kersting (Frontiers Artif. Intell., 2022)

Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing. - 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; et al. (J. Am. Medical Informatics Assoc., 2022)

GLUECons: A Generic Benchmark for Learning under Constraints. - Hossein Rajaby Faghihi; Aliakbar Nafar; Chen Zheng; Roshanak Mirzaee; Yue Zhang 004; Andrzej Uszok; Alexander Wan; Tanawan Premsri; Dan Roth 001; Parisa Kordjamshidi (AAAI, 2023)

ReCode: Robustness Evaluation of Code Generation Models. - Shiqi Wang 002; Zheng Li; Haifeng Qian; Chenghao Yang 001; Zijian Wang 002; Mingyue Shang; Varun Kumar; Samson Tan; Baishakhi Ray; Parminder Bhatia; Ramesh Nallapati; Murali Krishna Ramanathan; et al. (ACL (1), 2023)

Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. - Hritik Bansal; Karthik Gopalakrishnan 001; Saket Dingliwal; Sravan Bodapati; Katrin Kirchhoff; Dan Roth 001 (ACL (1), 2023)

Characterizing and Measuring Linguistic Dataset Drift. - Tyler A. Chang; Kishaloy Halder; Neha Anna John; Yogarshi Vyas; Yassine Benajiba; Miguel Ballesteros; Dan Roth 001 (ACL (1), 2023)

PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition. - Sihao Chen; Senaka Buthpitiya; Alex Fabrikant; Dan Roth 001; Tal Schuster (ACL (Findings), 2023)

A Static Evaluation of Code Completion by Large Language Models. - Hantian Ding; Varun Kumar; Yuchen Tian; Zijian Wang 002; Rob Kwiatkowski; Xiaopeng Li 002; Murali Krishna Ramanathan; Baishakhi Ray; Parminder Bhatia; Sudipta Sengupta; Dan Roth 001; Bing Xiang (ACL (industry), 2023)

Generic Temporal Reasoning with Differential Analysis and Explanation. - Yu Feng 013; Ben Zhou; Haoyu Wang 005; Helen Jin; Dan Roth 001 (ACL (1), 2023)

Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. - Xingyu Fu; Sheng Zhang 029; Gukyeong Kwon; Pramuditha Perera; Henghui Zhu; Yuhao Zhang 004; Alexander Hanbo Li; William Yang Wang; Zhiguo Wang; Vittorio Castelli; Patrick Ng; Dan Roth 001; et al. (ACL (Findings), 2023)

RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering. - Rujun Han; Peng Qi 003; Yuhao Zhang 004; Lan Liu 004; Juliette Burger; William Yang Wang; Zhiheng Huang; Bing Xiang; Dan Roth 001 (ACL (Findings), 2023)

Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. - Alexander Hanbo Li; Mingyue Shang; Evangelia Spiliopoulou; Jie Ma 005; Patrick Ng; Zhiguo Wang; Bonan Min; William Yang Wang; Kathleen R. McKeown; Vittorio Castelli; Dan Roth 001; Bing Xiang (ACL (1), 2023)

In and Out-of-Domain Text Adversarial Robustness via Label Smoothing. - Yahan Yang; Soham Dan; Dan Roth 001; Insup Lee 001 (ACL (2), 2023)

Indirectly Supervised Natural Language Processing. - Wenpeng Yin 001; Muhao Chen 001; Ben Zhou; Qiang Ning; Kai-Wei Chang; Dan Roth 001 (ACL (tutorial), 2023)

Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection. - Daniel Deutsch; Dan Roth 001 (EACL, 2023)

Zero-Shot On-the-Fly Event Schema Induction. - Rotem Dror; Haoyu Wang 005; Dan Roth 001 (EACL (Findings), 2023)

Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction. - Haoyu Wang 005; Hongming Zhang 009; Yuqian Deng; Jacob R. Gardner; Dan Roth 001; Muhao Chen 001 (EACL, 2023)

Event Linking: Grounding Event Mentions to Wikipedia. - Xiaodong Yu 003; Wenpeng Yin 001; Nitish Gupta; Dan Roth 001 (EACL, 2023)

CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm. - Hongming Zhang 009; Yintong Huo; Yanai Elazar; Yangqiu Song; Yoav Goldberg; Dan Roth 001 (EACL (Findings), 2023)

Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes. - Haoyu Wang 005; Hongming Zhang 009; Yueguan Wang; Yuqian Deng; Muhao Chen 001; Dan Roth 001 (EMNLP, 2023)

Taxonomy Expansion for Named Entity Recognition. - Karthikeyan K; Yogarshi Vyas; Jie Ma 005; Giovanni Paolini; Neha Anna John; Shuai Wang; Yassine Benajiba; Vittorio Castelli; Dan Roth 001; Miguel Ballesteros (EMNLP, 2023)

Comparing Biases and the Impact of Multilingual Training across Multiple Languages. - Sharon Levy; Neha Anna John; Ling Liu; Yogarshi Vyas; Jie Ma 005; Yoshinari Fujinuma; Miguel Ballesteros; Vittorio Castelli; Dan Roth 001 (EMNLP, 2023)

Using LLM for Improving Key Event Discovery: Temporal-Guided News Stream Clustering with Event Summaries. - Nishanth Sridhar Nakshatri; Siyi Liu; Sihao Chen; Dan Roth 001; Dan Goldwasser; Daniel Hopkins (EMNLP (Findings), 2023)

Bootstrapping Small & High Performance Language Models with Unmasking-Removal Training Policy. - Yahan Yang; Elior Sulem; Insup Lee 001; Dan Roth 001 (EMNLP, 2023)

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Henghui Zhu; Rui Dong; Deguang Kong; Juliette Burger; Anjelica Ramos; Zhiheng Huang; William Yang Wang; George Karypis; Bing Xiang; et al. (ICLR, 2023)

On Regularization and Inference with Label Constraints. - Kaifu Wang; Hangfeng He 001; Tin D. Nguyen; Piyush Kumar; Dan Roth 001 (ICML, 2023)

Privacy Adhering Machine Un-learning in NLP. - Vinayshekhar Bannihatti Kumar; Rashmi Gangadharaiah; Dan Roth 001 (IJCNLP (Findings), 2023)

Conversation Style Transfer using Few-Shot Learning. - Shamik Roy; Raphael Shu; Nikolaos Pappas 004; Elman Mansimov; Yi Zhang 001; Saab Mansour; Dan Roth 001 (IJCNLP (1), 2023)

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. - Yangruibo Ding; Zijian Wang 002; Wasi Uddin Ahmad; Hantian Ding; Ming Tan; Nihal Jain; Murali Krishna Ramanathan; Ramesh Nallapati; Parminder Bhatia; Dan Roth 001; Bing Xiang (NeurIPS, 2023)

On Learning Latent Models with Multi-Instance Weak Supervision. - Kaifu Wang; Efthymia Tsamoura; Dan Roth 001 (NeurIPS, 2023)

IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition Using Knowledge Bases. - Iker García-Ferrero; Jon Ander Campos; Oscar Sainz; Ander Salaberria; Dan Roth 001 (SemEval@ACL, 2023)

Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis. - Siddharth Varia; Shuai Wang; Kishaloy Halder; Robert Vacareanu; Miguel Ballesteros; Yassine Benajiba; Neha Anna John; Rishita Anubhai; Smaranda Muresan; Dan Roth 001 (WASSA@ACL, 2023)

Rethinking with Retrieval: Faithful Large Language Model Inference. - Hangfeng He 001; Hongming Zhang 009; Dan Roth 001 (CoRR, 2023)

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Henry Zhu; Rui Dong; Deguang Kong; Juliette Burger; Anjelica Ramos; William Yang Wang; Zhiheng Huang; George Karypis; Bing Xiang; et al. (CoRR, 2023)

Towards Corpus-Scale Discovery of Selection Biases in News Coverage: Comparing What Sources Say About Entities as a Start. - Sihao Chen; William Bruno; Dan Roth 001 (CoRR, 2023)

Open-Domain Event Graph Induction for Mitigating Framing Bias. - Siyi Liu; Hongming Zhang 009; Hongwei Wang 010; Kaiqiang Song; Dan Roth 001; Dong Yu 001 (CoRR, 2023)

Interpretable by Design Visual Question Answering. - Xingyu Fu; Ben Zhou; Sihao Chen; Mark Yatskar; Dan Roth 001 (CoRR, 2023)

Large Language Models as Sous Chefs: Revising Recipes with GPT-3. - Alyssa Hwang; Bryan Li; Zhaoyi Hou; Dan Roth 001 (CoRR, 2023)

Towards Open-Domain Topic Classification. - Hantian Ding; Jinrui Yang; Yuqian Deng; Hongming Zhang 009; Dan Roth 001 (CoRR, 2023)

The Integer Linear Programming Inference Cookbook. - Vivek Srikumar; Dan Roth 001 (CoRR, 2023)

Building Interpretable and Reliable Open Information Retriever for New Domains Overnight. - Xiaodong Yu 003; Ben Zhou; Dan Roth 001 (CoRR, 2023)

Automatic Hallucination Assessment for Aligned Large Language Models via Transferable Adversarial Attacks. - Xiaodong Yu 003; Hao Cheng 002; Xiaodong Liu 003; Dan Roth 001; Jianfeng Gao 001 (CoRR, 2023)

Multi-Set Inoculation: Assessing Model Robustness Across Multiple Challenge Sets. - Vatsal Gupta; Pranshu Pandya; Tushar Kataria; Vivek Gupta 001; Dan Roth 001 (CoRR, 2023)

Understanding Calibration for Multilingual Question Answering Models. - Yahan Yang; Soham Dan; Dan Roth 001; Insup Lee 001 (CoRR, 2023)

Pachinko: Patching Interpretable QA Models through Natural Language Feedback. - Chaitanya Malaviya; Subin Lee; Dan Roth 001; Mark Yatskar (CoRR, 2023)

Deceiving Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination? - Bangzheng Li; Ben Zhou; Fei Wang 060; Xingyu Fu; Dan Roth 001; Muhao Chen 001 (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - 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; et al. (Trans. Mach. Learn. Res., 2023)

Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval. - Peter Baile Chen; Yi Zhang 001; Dan Roth 001 (ACL (1), 2024)

ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models. - Aparna Elangovan; Ling Liu; Lei Xu 040; Sravan Babu Bodapati; Dan Roth 001 (ACL (1), 2024)

FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts. - Shubhankar Singh; Purvi Chaurasia; Yerram Varun; Pranshu Pandya; Vatsal Gupta; Vivek Gupta 001; Dan Roth 001 (ACL (Findings), 2024)

Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering. - Pragya Srivastava; Manuj Malik; Vivek Gupta 001; Tanuja Ganu; Dan Roth 001 (ACL (Findings), 2024)

CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. - Yangruibo Ding; Zijian Wang 002; Wasi Uddin Ahmad; Murali Krishna Ramanathan; Ramesh Nallapati; Parminder Bhatia; Dan Roth 001; Bing Xiang (LREC/COLING, 2024)

Event Semantic Classification in Context. - Haoyu Wang 005; Hongming Zhang 009; Kaiqiang Song; Dong Yu 001; Dan Roth 001 (EACL (Findings), 2024)

BLINK: Multimodal Large Language Models Can See but Not Perceive. - Xingyu Fu; Yushi Hu; Bangzheng Li; Yu Feng 013; Haoyu Wang 005; Xudong Lin 003; Dan Roth 001; Noah A. Smith; Wei-Chiu Ma; Ranjay Krishna (ECCV (23), 2024)

Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets. - Vatsal Gupta; Pranshu Pandya; Tushar Kataria; Vivek Gupta 001; Dan Roth 001 (EMNLP, 2024)

Event Causality Identification with Synthetic Control. - Haoyu Wang 005; Fengze Liu; Jiayao Zhang 001; Dan Roth 001; Kyle Richardson 001 (EMNLP, 2024)

Devil's Advocate: Anticipatory Reflection for LLM Agents. - Haoyu Wang 005; Tao Li 039; Zhiwei Deng; Dan Roth 001; Yang Li 150 (EMNLP (Findings), 2024)

A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners. - Bowen Jiang; Yangxinyu Xie; Zhuoqun Hao; Xiaomeng Wang 002; Tanwi Mallick; Weijie Su 001; Camillo J. Taylor; Dan Roth 001 (EMNLP, 2024)

Knowledge-Aware Reasoning over Multimodal Semi-structured Tables. - Suyash Vardhan Mathur; Jainit Sushil Bafna; Kunal Kartik; Harshita Khandelwal; Manish Shrivastava 001; Vivek Gupta 001; Mohit Bansal; Dan Roth 001 (EMNLP (Findings), 2024)

Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustness. - Srija Mukhopadhyay; Adnan Qidwai; Aparna Garimella; Pritika Ramu; Vivek Gupta 001; Dan Roth 001 (EMNLP (Findings), 2024)

Code Representation Learning at Scale. - Dejiao Zhang; Wasi Uddin Ahmad; Ming Tan; Hantian Ding; Ramesh Nallapati; Dan Roth 001; Xiaofei Ma 001; Bing Xiang (ICLR, 2024)

Fewer Truncations Improve Language Modeling. - Hantian Ding; Zijian Wang 002; Giovanni Paolini; Varun Kumar; Anoop Deoras; Dan Roth 001; Stefano Soatto (ICML, 2024)

Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations. - Sihao Chen; Hongming Zhang 009; Tong Chen; Ben Zhou; Wenhao Yu 002; Dian Yu 001; Baolin Peng; Hongwei Wang 010; Dan Roth 001; Dong Yu 001 (NAACL-HLT, 2024)

SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation. - Hangfeng He 001; Hongming Zhang 009; Dan Roth 001 (NAACL-HLT (Findings), 2024)

Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination? - Bangzheng Li; Ben Zhou; Fei Wang 060; Xingyu Fu; Dan Roth 001; Muhao Chen 001 (NAACL-HLT, 2024)

ExpertQA: Expert-Curated Questions and Attributed Answers. - Chaitanya Malaviya; Subin Lee; Sihao Chen; Elizabeth Sieber; Mark Yatskar; Dan Roth 001 (NAACL-HLT, 2024)

What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception. - Chaitanya Malaviya; Subin Lee; Dan Roth 001; Mark Yatskar (NAACL-HLT, 2024)

ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks. - Xiaodong Yu 003; Hao Cheng 002; Xiaodong Liu 003; Dan Roth 001; Jianfeng Gao 001 (NAACL-HLT (Findings), 2024)

Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models. - Yushi Hu; Weijia Shi; Xingyu Fu; Dan Roth 001; Mari Ostendorf; Luke Zettlemoyer; Noah A. Smith; Ranjay Krishna (NeurIPS, 2024)

Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale. - Tianyue Ou; Frank F. Xu; Aman Madaan; Jiarui Liu 004; Robert Lo; Abishek Sridhar; Sudipta Sengupta; Dan Roth 001; Graham Neubig; Shuyan Zhou (NeurIPS, 2024)

DeAL: Decoding-time Alignment for Large Language Models. - James Y. Huang; Sailik Sengupta; Daniele Bonadiman; Yi'an Lai; Arshit Gupta; Nikolaos Pappas 004; Saab Mansour; Katrin Kirchhoff; Dan Roth 001 (CoRR, 2024)

From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification. - Fei Wang 060; Chao Shang; Sarthak Jain; Shuai Wang; Qiang Ning; Bonan Min; Vittorio Castelli; Yassine Benajiba; Dan Roth 001 (CoRR, 2024)

Multi-Agent VQA: Exploring Multi-Agent Foundation Models in Zero-Shot Visual Question Answering. - Bowen Jiang; Zhijun Zhuang; Shreyas S. Shivakumar; Dan Roth 001; Camillo J. Taylor (CoRR, 2024)

Conceptual and Unbiased Reasoning in Language Models. - Ben Zhou; Hongming Zhang 009; Sihao Chen; Dian Yu 001; Hongwei Wang 010; Baolin Peng; Dan Roth 001; Dong Yu 001 (CoRR, 2024)

Is Table Retrieval a Solved Problem? Join-Aware Multi-Table Retrieval. - Peter Baile Chen; Yi Zhang 001; Dan Roth 001 (CoRR, 2024)

Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense? - Xingyu Fu; Muyu He; Yujie Lu; William Yang Wang; Dan Roth 001 (CoRR, 2024)

FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimation. - Bangzheng Li; Ben Zhou; Xingyu Fu; Fei Wang 060; Dan Roth 001; Muhao Chen 001 (CoRR, 2024)

On Characterizing and Mitigating Imbalances in Multi-Instance Partial Label Learning. - Kaifu Wang; Efthymia Tsamoura; Dan Roth 001 (CoRR, 2024)

Unraveling the Truth: Do LLMs really Understand Charts? A Deep Dive into Consistency and Robustness. - Srija Mukhopadhyay; Adnan Qidwai; Aparna Garimella; Pritika Ramu; Vivek Gupta 001; Dan Roth 001 (CoRR, 2024)

MAPWise: Evaluating Vision-Language Models for Advanced Map Queries. - Srija Mukhopadhyay; Abhishek Rajgaria; Prerana Khatiwada; Vivek Gupta 001; Dan Roth 001 (CoRR, 2024)

Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering. - Qingru Zhang; Xiaodong Yu 003; Chandan Singh; Xiaodong Liu 003; Liyuan Liu; Jianfeng Gao 001; Tuo Zhao; Dan Roth 001; Hao Cheng 002 (CoRR, 2024)

GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation. - Jiashu He; Mingyu Derek Ma; Jinxuan Fan; Dan Roth 001; Wei Wang 010; Alejandro Ribeiro (CoRR, 2024)

ReasonAgain: Using Extractable Symbolic Programs to Evaluate Mathematical Reasoning. - Xiaodong Yu 003; Ben Zhou; Hao Cheng 002; Dan Roth 001 (CoRR, 2024)

Benchmarking LLM Guardrails in Handling Multilingual Toxicity. - Yahan Yang; Soham Dan; Dan Roth 001; Insup Lee 001 (CoRR, 2024)

Contextualized Evaluations: Taking the Guesswork Out of Language Model Evaluations. - Chaitanya Malaviya; Joseph Chee Chang; Dan Roth 001; Mohit Iyyer; Mark Yatskar; Kyle Lo (CoRR, 2024)

DiverseAgentEntropy: Quantifying Black-Box LLM Uncertainty through Diverse Perspectives and Multi-Agent Interaction. - Yu Feng 013; Phu Mon Htut; Zheng Qi; Wei Xiao; Manuel Mager; Nikolaos Pappas 004; Kishaloy Halder; Yang Li 150; Yassine Benajiba; Dan Roth 001 (CoRR, 2024)

NAVCON: A Cognitively Inspired and Linguistically Grounded Corpus for Vision and Language Navigation. - Karan Wanchoo; Xiaoye Zuo; Hannah Gonzalez; Soham Dan; Georgios Georgakis; Dan Roth 001; Kostas Daniilidis; Eleni Miltsakaki (CoRR, 2024)

Disparities in seizure outcomes revealed by large language models. - 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 001; Brian Litt; Colin A. Ellis (J. Am. Medical Informatics Assoc., 2024)

Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey. - Bonan Min; Hayley Ross; Elior Sulem; Amir Pouran Ben Veyseh; Thien Huu Nguyen; Oscar Sainz; Eneko Agirre; Ilana Heintz; Dan Roth 001 (ACM Comput. Surv., 2024)

Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method. - Peter Baile Chen; Yi Zhang 001; Mike Cafarella; Dan Roth 001 (ACL (1), 2025)

DeAL: Decoding-time Alignment for Large Language Models. - James Y. Huang; Sailik Sengupta; Daniele Bonadiman; Yi-An Lai; Arshit Gupta; Nikolaos Pappas 004; Saab Mansour; Katrin Kirchhoff; Dan Roth 001 (ACL (1), 2025)

LLM-Symbolic Integration for Robust Temporal Tabular Reasoning. - Atharv Kulkarni; Kushagra Dixit; Vivek Srikumar; Dan Roth 001; Vivek Gupta 001 (ACL (Findings), 2025)

Talking Point based Ideological Discourse Analysis in News Events. - Nishanth Sridhar Nakshatri; Nikhil Mehta 003; Siyi Liu; Sihao Chen; Daniel Hopkins; Dan Roth 001; Dan Goldwasser (ACL (Findings), 2025)

BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models. - Yu Feng 013; Ben Zhou; Weidong Lin; Dan Roth 001 (ICLR, 2025)

Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge. - Aparna Elangovan; Lei Xu 040; Jongwoo Ko; Mahsa Elyasi; Ling Liu; Sravan Babu Bodapati; Dan Roth 001 (ICLR, 2025)

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. - Fei Wang 060; Xingyu Fu; James Y. Huang; Zekun Li 007; Qin Liu 010; Xiaogeng Liu; Mingyu Derek Ma; Nan Xu; Wenxuan Zhou; Kai Zhang 008; Tianyi Lorena Yan; Wenjie Jacky Mo; et al. (ICLR, 2025)

H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables. - Nikhil Abhyankar; Vivek Gupta 001; Dan Roth 001; Chandan K. Reddy (NAACL (Long Papers), 2025)

On Reference (In-)Determinacy in Natural Language Inference. - Sihao Chen; Chaitanya Malaviya; Alex Fabrikant; Hagai Taitelbaum; Tal Schuster; Senaka Buthpitiya; Dan Roth 001 (NAACL (Findings), 2025)

Enhancing Temporal Understanding in LLMs for Semi-structured Tables. - Irwin Deng; Kushagra Dixit; Dan Roth 001; Vivek Gupta 001 (NAACL (Findings), 2025)

Leveraging LLM For Synchronizing Information Across Multilingual Tables. - Siddharth Khincha; Tushar Kataria; Ankita Anand; Dan Roth 001; Vivek Gupta 001 (NAACL (Long Papers), 2025)

Towards Long Context Hallucination Detection. - Siyi Liu; Kishaloy Halder; Zheng Qi; Wei Xiao; Nikolaos Pappas 004; Phu Mon Htut; Neha Anna John; Yassine Benajiba; Dan Roth 001 (NAACL (Findings), 2025)

Open Domain Question Answering with Conflicting Contexts. - Siyi Liu; Qiang Ning; Kishaloy Halder; Zheng Qi; Wei Xiao; Phu Mon Htut; Yi Zhang 001; Neha Anna John; Bonan Min; Yassine Benajiba; Dan Roth 001 (NAACL (Findings), 2025)

MAPWise: Evaluating Vision-Language Models for Advanced Map Queries. - Srija Mukhopadhyay; Abhishek Rajgaria; Prerana Khatiwada; Manish Shrivastava 001; Dan Roth 001; Vivek Gupta 001 (NAACL (Long Papers), 2025)

NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models. - Pranshu Pandya; Vatsal Gupta; Agney S. Talwarr; Tushar Kataria; Dan Roth 001; Vivek Gupta 001 (NAACL (Findings), 2025)

TRANSIENTTABLES: Evaluating LLMs' Reasoning on Temporally Evolving Semi-structured Tables. - Abhilash Reddy Shankarampeta; Harsh Mahajan; Tushar Kataria; Dan Roth 001; Vivek Gupta 001 (NAACL (Long Papers), 2025)

Aligning to Constraints for Data-Efficient Language Model Customization. - Fei Wang 060; Chao Shang; Shuai Wang; Sarthak Jain; Qiang Ning; Bonan Min; Vittorio Castelli; Yassine Benajiba; Dan Roth 001 (NAACL (Findings), 2025)

Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries. - Chaitanya Malaviya; Joseph Chee Chang; Dan Roth 001; Mohit Iyyer; Mark Yatskar; Kyle Lo (Trans. Assoc. Comput. Linguistics, 2025)

ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding. - Xingyu Fu; Minqian Liu; Zhengyuan Yang; John Corring; Yijuan Lu; Jianwei Yang; Dan Roth 001; Dinei A. F. Florêncio; Cha Zhang (CoRR, 2025)

Self-supervised Analogical Learning using Language Models. - Ben Zhou; Sarthak Jain; Yi Zhang 001; Qiang Ning; Shuai Wang; Yassine Benajiba; Dan Roth 001 (CoRR, 2025)

EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline. - Peter Baile Chen; Tomer Wolfson; Michael J. Cafarella; Dan Roth 001 (CoRR, 2025)

Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale. - Bowen Jiang; Zhuoqun Hao; Young-Min Cho; Bryan Li; Yuan Yuan; Sihao Chen; Lyle H. Ungar; Camillo J. Taylor; Dan Roth 001 (CoRR, 2025)

MR. Guard: Multilingual Reasoning Guardrail using Curriculum Learning. - Yahan Yang; Soham Dan; Shuo Li; Dan Roth 001; Insup Lee 001 (CoRR, 2025)

Conflicts in Texts: Data, Implications and Challenges. - Siyi Liu; Dan Roth 001 (CoRR, 2025)

Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation. - Peter Baile Chen; Yi Zhang 001; Dan Roth 001; Samuel Madden 001; Jacob Andreas; Michael J. Cafarella (CoRR, 2025)

Self-GIVE: Associative Thinking from Limited Structured Knowledge for Enhanced Large Language Model Reasoning. - Jiashu He; Jinxuan Fan; Bowen Jiang; Ignacio Houine; Dan Roth 001; Alejandro Ribeiro (CoRR, 2025)

UNJOIN: Enhancing Multi-Table Text-to-SQL Generation via Schema Simplification. - Poojah Ganesan; Rajat Aayush Jha; Dan Roth 001; Vivek Gupta 001 (CoRR, 2025)

Weaver: Interweaving SQL and LLM for Table Reasoning. - Rohit Khoja; Devanshu Gupta; Yanjie Fu; Dan Roth 001; Vivek Gupta 001 (CoRR, 2025)

LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval. - Yanzhen Shen; Sihao Chen; Xueqiang Xu; Yunyi Zhang; Chaitanya Malaviya; Dan Roth 001 (CoRR, 2025)

AUTOCT: Automating Interpretable Clinical Trial Prediction with LLM Agents. - Fengze Liu; Haoyu Wang 005; Joonhyuk Cho; Dan Roth 001; Andrew W. Lo (CoRR, 2025)

No Universal Prompt: Unifying Reasoning through Adaptive Prompting for Temporal Table Reasoning. - Kushagra Dixit; Abhishek Rajgaria; Harshavardhan Kalalbandi; Dan Roth 001; Vivek Gupta 001 (CoRR, 2025)

A Community-driven vision for a new Knowledge Resource for AI. - Vinay K. Chaudhri; Chaitan Baru; Brandon Bennett; Mehul Bhatt; Darion Cassel; Anthony G. Cohn 001; Rina Dechter; Esra Erdem 001; David A. Ferrucci; Kenneth D. Forbus; Gregory Gelfond; Michael R. Genesereth; et al. (CoRR, 2025)

PRAISE: Enhancing Product Descriptions with LLM-Driven Structured Insights. - Adnan Qidwai; Srija Mukhopadhyay; Prerana Khatiwada; Dan Roth 001; Vivek Gupta 001 (CoRR, 2025)

InterChart: Benchmarking Visual Reasoning Across Decomposed and Distributed Chart Information. - Anirudh Iyengar Kaniyar Narayana Iyengar; Srija Mukhopadhyay; Adnan Qidwai; Shubhankar Singh; Dan Roth 001; Vivek Gupta 001 (CoRR, 2025)

MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents. - Tomer Wolfson; Harsh Trivedi; Mor Geva; Yoav Goldberg; Dan Roth 001; Tushar Khot; Ashish Sabharwal; Reut Tsarfaty (CoRR, 2025)

Reasoning is about giving reasons. - Krunal Shah; Dan Roth 001 (CoRR, 2025)

Zero-Shot Extraction of Seizure Outcomes from Clinical Notes Using Generative Pretrained Transformers. - William K. S. Ojemann; Kevin Xie; Kevin Liu; Ellie Chang; Dan Roth 001; Brian Litt; Colin A. Ellis (J. Heal. Informatics Res., 2025)