Generating Summaries of Multiple News Articles. - Kathleen R. McKeown; Dragomir R. Radev (SIGIR, 1995)

Using Word Class for Part-of-speech Disambiguation. - Evelyne Tzoukermann; Dragomir R. Radev (VLC@COLING, 1996)

An Architecture For Distributed Natural Language Summarization. - Dragomir R. Radev (INLG, 1996)

Columbia Digital News System An Environment for Briefing and Search over Multimedia Information. - Alfred V. Aho; Shih-Fu Chang; Kathleen R. McKeown; Dragomir R. Radev; John R. Smith; Kazi A. Zaman (ADL, 1997)

Building a Generation Knowledge Source using Internet-Accessible Newswire. - Dragomir R. Radev; Kathleen R. McKeown (ANLP, 1997)

Use of Weighted Finite State Transducers in Part of Speech Tagging - Evelyne Tzoukermann; Dragomir R. Radev (CoRR, 1997)

Tagging French Without Lexical Probabilities - Combining Linguistic Knowledge And Statistical Learning - Evelyne Tzoukermann; Dragomir R. Radev; William A. Gale (CoRR, 1997)

Columbia Digital News Project: An Environment for Briefing and Search over Multimedia Information. - Alfred V. Aho; Shih-Fu Chang; Kathleen R. McKeown; Dragomir R. Radev; John R. Smith; Kazi A. Zaman (Int. J. Digit. Libr., 1997)

Learning Correlations between Linguistic Indicators and Semantic Constraints: Reuse of Context-Dependent Decsriptions of Entities. - Dragomir R. Radev (COLING-ACL, 1998)

Generating Natural Language Summaries from Multiple On-Line Sources. - Dragomir R. Radev; Kathleen R. McKeown (Comput. Linguistics, 1998)

Learning Correlations between Linguistic Indicators and Semantic Constraints: Reuse of Context-Dependent Descriptions of Entities - Dragomir R. Radev (CoRR, 1998)

The Use of Predictive Annotation for Question Answering in TREC8. - John M. Prager; Dragomir R. Radev; Eric W. Brown 001; Anni Coden; Valerie Samn (TREC, 1999)

The AAAI Spring Symposia. - Nancy L. Green; Jennifer Chu-Carroll; David Kortenkamp; Alan C. Schultz; Michael H. Coen; Dragomir R. Radev; Eduard H. Hovy; Peter Haddawy; Steve Hanks; Eugene C. Freuder; Charlie Ortiz; Sandip Sen (AI Mag., 1999)

Ranking suspected answers to natural language questions using predictive annotation. - Dragomir R. Radev; John M. Prager; Valerie Samn (ANLP, 2000)

A Common Theory of Information Fusion from Multiple Text Sources Step One: Cross-Document Structure. - Dragomir R. Radev (SIGDIAL Workshop, 2000)

Question-answering by predictive annotation. - John M. Prager; Eric W. Brown 001; Anni Coden; Dragomir R. Radev (SIGIR, 2000)

One Search Engine or Two for Question-Answering. - John M. Prager; Eric W. Brown 001; Dragomir R. Radev; Krzysztof Czuba (TREC, 2000)

Centroid-based summarization of multiple documents: sentence extraction utility-based evaluation, and user studies - Dragomir R. Radev; Hongyan Jing; Malgorzata Budzikowska (CoRR, 2000)

Mining the Web for Answers to Natural Language Questions. - Dragomir R. Radev; Hong Qi; Zhiping Zheng; Sasha Blair-Goldensohn; Zhu Zhang; Weiguo Fan; John M. Prager (CIKM, 2001)

Interactive, Domain-Independent Identification and Summarization of Topically Related News Articles. - Dragomir R. Radev; Sasha Blair-Goldensohn; Zhu Zhang; Revathi Sundara Raghavan (ECDL, 2001)

Answering What-Is Questions by Virtual Annotation. - John M. Prager; Dragomir R. Radev; Krzysztof Czuba (HLT, 2001)

NewsInEssence: A System For Domain-Independent, Real-Time News Clustering and Multi-Document Summarization. - Dragomir R. Radev; Sasha Blair-Goldensohn; Zhu Zhang; Revathi Sundara Raghavan (HLT, 2001)

Towards CST-Enhanced Summarization. - Zhu Zhang; Sasha Blair-Goldensohn; Dragomir R. Radev (AAAI/IAAI, 2002)

Meta-evaluation of Summaries in a Cross-lingual Environment using Content-based Metrics. - Horacio Saggion; Dragomir R. Radev; Simone Teufel; Wai Lam (COLING, 2002)

Evaluating Web-based Question Answering Systems. - Dragomir R. Radev; Hong Qi; Harris Wu; Weiguo Fan (LREC, 2002)

Developing Infrastructure for the Evaluation of Single and Multi-document Summarization Systems in a Cross-lingual Environment. - Horacio Saggion; Dragomir R. Radev; Simone Teufel; Wai Lam; Stephanie M. Strassel (LREC, 2002)

The University of Michigan at TREC 2002: Question Answering and Novelty Tracks. - Hong Qi; Jahna Otterbacher; Adam Winkel; Dragomir R. Radev (TREC, 2002)

Introduction to the Special Issue on Summarization. - Dragomir R. Radev; Eduard H. Hovy; Kathleen R. McKeown (Comput. Linguistics, 2002)

Getting answers to natural language questions on the Web. - Dragomir R. Radev; Kelsey Libner; Weiguo Fan (J. Assoc. Inf. Sci. Technol., 2002)

Evaluation Challenges in Large-Scale Document Summarization. - Dragomir R. Radev; Simone Teufel; Horacio Saggion; Wai Lam; John Blitzer; Hong Qi; Arda Çelebi; Danyu Liu; Elliott Drábek (ACL, 2003)

Summarization evaluation using relative utility. - Dragomir R. Radev; Daniel Tam (CIKM, 2003)

Learning cross-document structural relationships using boosting. - Zhu Zhang; Jahna Otterbacher; Dragomir R. Radev (CIKM, 2003)

TimeML: Robust Specification of Event and Temporal Expressions in Text. - James Pustejovsky; José M. Castaño; Robert Ingria; Roser Saurí; Robert J. Gaizauskas; Andrea Setzer; Graham Katz; Dragomir R. Radev (New Directions in Question Answering, 2003)

Panel on Web-Based Question Answering. - Dragomir R. Radev (New Directions in Question Answering, 2003)

Querying XML using structures and keywords in timber. - Cong Yu 001; H. V. Jagadish; Dragomir R. Radev (SIGIR, 2003)

The University of Michigan at TREC 2003. - Jahna Otterbacher; Hong Qi; Ali Hakim; Dragomir R. Radev (TREC, 2003)

Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002. - James Allan; Jay Aslam; Nicholas J. Belkin; Chris Buckley; James P. Callan; W. Bruce Croft; Susan T. Dumais; Norbert Fuhr; Donna Harman; David J. Harper; Djoerd Hiemstra; Thomas Hofmann 001; et al. (SIGIR Forum, 2003)

Exploring the use of natural language systems for fact identification: Towards the automatic construction of healthcare portals. - Frederick A. Peck; Suresh K. Bhavnani; Marilyn H. Blackmon; Dragomir R. Radev (ASIST, 2004)

Comparing Semantically Related Sentences: The Case of Paraphrase Versus Subsumption. - Jahna Otterbacher; Dragomir R. Radev (COLING, 2004)

LexPageRank: Prestige in Multi-Document Text Summarization. - Günes Erkan; Dragomir R. Radev (EMNLP, 2004)

Combining Labeled and Unlabeled Data for Learning Cross-Document Structural Relationships. - Zhu Zhang; Dragomir R. Radev (IJCNLP, 2004)

RevisionBank: A Resource for Revision-based Multi-document Summarization and Evaluation. - Jahna Otterbacher; Dragomir R. Radev (LREC, 2004)

MEAD - A Platform for Multidocument Multilingual Text Summarization. - Dragomir R. Radev; Timothy Allison; Sasha Blair-Goldensohn; John Blitzer; Arda Çelebi; Stanko Dimitrov; Elliott Drábek; Ali Hakim; Wai Lam; Danyu Liu; Jahna Otterbacher; Hong Qi; et al. (LREC, 2004)

CST Bank: A Corpus for the Study of Cross-document Structural Relationships. - Dragomir R. Radev; Jahna Otterbacher; Zhu Zhang (LREC, 2004)

A Smorgasbord of Features for Statistical Machine Translation. - Franz Josef Och; Daniel Gildea; Sanjeev Khudanpur; Anoop Sarkar; Kenji Yamada; Alexander M. Fraser; Shankar Kumar; Libin Shen; David Smith; Katherine Eng; Viren Jain; Zhen Jin 007; et al. (HLT-NAACL, 2004)

A Scaleable Multi-document Centroid-based Summarizer. - Dragomir R. Radev; Timothy Allison; Matthew Craig; Stanko Dimitrov; Omer Kareem; Michael Topper; Adam Winkel; Jin Yi (HLT-NAACL (Demonstration Papers), 2004)

Computational Linkuistics: Word Triggers across Hyperlinks. - Dragomir R. Radev; Hong Qi; Adam Winkel; Daniel Tam (HLT-NAACL (Short Papers), 2004)

Representing Temporal and Event Knowledge for QA Systems. - James Pustejovsky; Roser Saurí; José M. Castaño; Dragomir R. Radev; Robert J. Gaizauskas; Andrea Setzer; Beth Sundheim; Graham Katz (New Directions in Question Answering, 2004)

Toward Answer-Focused Summarization Using Search Engines. - Harris Wu; Dragomir R. Radev; Weiguo Fan (New Directions in Question Answering, 2004)

Centroid-based summarization of multiple documents. - Dragomir R. Radev; Hongyan Jing; Magorzata Sty; Daniel Tam (Inf. Process. Manag., 2004)

LexRank: Graph-based Lexical Centrality as Salience in Text Summarization. - Günes Erkan; Dragomir R. Radev (J. Artif. Intell. Res., 2004)

Using Random Walks for Question-focused Sentence Retrieval. - Jahna Otterbacher; Günes Erkan; Dragomir R. Radev (HLT/EMNLP, 2005)

Hierarchical text summarization for WAP-enabled mobile devices. - Dragomir R. Radev; Omer Kareem; Jahna Otterbacher (SIGIR, 2005)

NewsInEssence: summarizing online news topics. - Dragomir R. Radev; Jahna Otterbacher; Adam Winkel; Sasha Blair-Goldensohn (Commun. ACM, 2005)

Context-based generic cross-lingual retrieval of documents and automated summaries. - Wai Lam; Ki Chan; Dragomir R. Radev; Horacio Saggion; Simone Teufel (J. Assoc. Inf. Sci. Technol., 2005)

Probabilistic question answering on the Web. - Dragomir R. Radev; Weiguo Fan; Hong Qi; Harris Wu; Amardeep Grewal (J. Assoc. Inf. Sci. Technol., 2005)

LexNet: A Graphical Environment for Graph-Based NLP. - Dragomir R. Radev; Günes Erkan; Anthony Fader; Patrick Jordan; Siwei Shen; James P. Sweeney (ACL, 2006)

Adding Syntax to Dynamic Programming for Aligning Comparable Texts for the Generation of Paraphrases. - Siwei Shen; Dragomir R. Radev; Agam Patel; Günes Erkan (ACL, 2006)

Lexical similarity can distinguish between automatic and manual translations. - Agam Patel; Dragomir R. Radev (LREC, 2006)

Graph-based Algorithms for Natural Language Processing and Information Retrieval. - Rada Mihalcea; Dragomir R. Radev (HLT-NAACL, 2006)

Fact-focused novelty detection: a feasibility study. - Jahna Otterbacher; Dragomir R. Radev (SIGIR, 2006)

News to go: hierarchical text summarization for mobile devices. - Jahna Otterbacher; Dragomir R. Radev; Omer Kareem (SIGIR, 2006)

Graph-Based Methods for Language Processing and Information Retrieval. - Dragomir R. Radev (SLT, 2006)

Semi-Supervised Classification for Extracting Protein Interaction Sentences using Dependency Parsing. - Günes Erkan; Arzucan Özgür; Dragomir R. Radev (EMNLP-CoNLL, 2007)

MavenRank: Identifying Influential Members of the US Senate Using Lexical Centrality. - Anthony Fader; Dragomir R. Radev; Michael H. Crespin; Burt L. Monroe; Kevin M. Quinn; Michael Colaresi (EMNLP-CoNLL, 2007)

CLAIRLIB Documentation v1.03 - Dragomir R. Radev; Mark R. Hodges; Anthony Fader; Mark Thomas Joseph; Joshua Gerrish; Mark Schaller; Jonathan dePeri; Bryan R. Gibson (CoRR, 2007)

Tracking the Dynamic Evolution of Participants Salience in a Discussion. - Ahmed Hassan Awadallah; Anthony Fader; Michael H. Crespin; Kevin M. Quinn; Burt L. Monroe; Michael Colaresi; Dragomir R. Radev (COLING, 2008)

Detecting Multiple Facets of an Event using Graph-Based Unsupervised Methods. - Pradeep Muthukrishnan; Joshua Gerrish; Dragomir R. Radev (COLING, 2008)

Scientific Paper Summarization Using Citation Summary Networks. - Vahed Qazvinian; Dragomir R. Radev (COLING, 2008)

Identifying gene-disease associations using centrality on a literature mined gene-interaction network. - Arzucan Özgür; Thuy Vu; Günes Erkan; Dragomir R. Radev (ISMB, 2008)

The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics. - Steven Bird; Robert Dale; Bonnie J. Dorr; Bryan R. Gibson; Mark Thomas Joseph; Min-Yen Kan; Dongwon Lee 001; Brett Powley; Dragomir R. Radev; Yee Fan Tan (LREC, 2008)

Modeling Document Dynamics: an Evolutionary Approach. - Jahna Otterbacher; Dragomir R. Radev (LREC, 2008)

Introduction to the Special Issue on AI and Networks. - Marie desJardins; Matthew E. Gaston; Dragomir R. Radev (AI Mag., 2008)

Networks and Natural Language Processing. - Dragomir R. Radev; Rada Mihalcea (AI Mag., 2008)

Natural Language Processing and the Web. - Dragomir R. Radev; Mirella Lapata (IEEE Intell. Syst., 2008)

Hierarchical summarization for delivering information to mobile devices. - Jahna Otterbacher; Dragomir R. Radev; Omer Kareem (Inf. Process. Manag., 2008)

Blind men and elephants: What do citation summaries tell us about a research article? - Aaron Elkiss; Siwei Shen; Anthony Fader; Günes Erkan; David J. States; Dragomir R. Radev (J. Assoc. Inf. Sci. Technol., 2008)

Exploring fact-focused relevance and novelty detection. - Jahna Otterbacher; Dragomir R. Radev (J. Documentation, 2008)

Supervised Classification for Extracting Biomedical Events. - Arzucan Özgür; Dragomir R. Radev (BioNLP@HLT-NAACL (Shared Task), 2009)

Detecting Speculations and their Scopes in Scientific Text. - Arzucan Özgür; Dragomir R. Radev (EMNLP, 2009)

Content Based Recommendation and Summarization in the Blogosphere. - Ahmed Hassan Awadallah; Dragomir R. Radev; Junghoo Cho; Amruta Joshi (ICWSM, 2009)

The Evolution of Scientific Paper Title Networks. - Vahed Qazvinian; Dragomir R. Radev (ICWSM, 2009)

Using Citations to Generate surveys of Scientific Paradigms. - Saif M. Mohammad; Bonnie J. Dorr; Melissa Egan; Ahmed Hassan Awadallah; Pradeep Muthukrishnan; Vahed Qazvinian; Dragomir R. Radev; David M. Zajic (HLT-NAACL, 2009)

Biased LexRank: Passage retrieval using random walks with question-based priors. - Jahna Otterbacher; Günes Erkan; Dragomir R. Radev (Inf. Process. Manag., 2009)

Visual overviews for discovering key papers and influences across research fronts. - Aleks Aris; Ben Shneiderman; Vahed Qazvinian; Dragomir R. Radev (J. Assoc. Inf. Sci. Technol., 2009)

Michigan molecular interactions r2: from interacting proteins to pathways. - V. Glenn Tarcea; Terry E. Weymouth; Alexander S. Ade; Aaron V. Bookvich; Jing Gao; Vasudeva Mahavisno; Zach Wright; Adriane Chapman; Magesh Jayapandian; Arzucan Özgür; Yuanyuan Tian 001; James D. Cavalcoli; et al. (Nucleic Acids Res., 2009)

Identifying Text Polarity Using Random Walks. - Ahmed Hassan Awadallah; Dragomir R. Radev (ACL, 2010)

Identifying Non-Explicit Citing Sentences for Citation-Based Summarization. - Vahed Qazvinian; Dragomir R. Radev (ACL, 2010)

Citation Summarization Through Keyphrase Extraction. - Vahed Qazvinian; Dragomir R. Radev; Arzucan Özgür (COLING, 2010)

What's with the Attitude? Identifying Sentences with Attitude in Online Discussions. - Ahmed Hassan Awadallah; Vahed Qazvinian; Dragomir R. Radev (EMNLP, 2010)

Edge Weight Regularization over Multiple Graphs for Similarity Learning. - Pradeep Muthukrishnan; Dragomir R. Radev; Qiaozhu Mei (ICDM, 2010)

DivRank: the interplay of prestige and diversity in information networks. - Qiaozhu Mei; Jian Guo 002; Dragomir R. Radev (KDD, 2010)

Exploiting Phase Transition in Latent Networks for Clustering. - Vahed Qazvinian; Dragomir R. Radev (AAAI, 2011)

Coherent Citation-Based Summarization of Scientific Papers. - Amjad Abu-Jbara; Dragomir R. Radev (ACL, 2011)

Clairlib: A Toolkit for Natural Language Processing, Information Retrieval, and Network Analysis. - Amjad Abu-Jbara; Dragomir R. Radev (ACL (System Demonstrations), 2011)

Identifying the Semantic Orientation of Foreign Words. - Ahmed Hassan Awadallah; Amjad Abu-Jbara; Rahul Jha; Dragomir R. Radev (ACL (2), 2011)

Learning From Collective Human Behavior to Introduce Diversity in Lexical Choice. - Vahed Qazvinian; Dragomir R. Radev (ACL, 2011)

Rumor has it: Identifying Misinformation in Microblogs. - Vahed Qazvinian; Emily Rosengren; Dragomir R. Radev; Qiaozhu Mei (EMNLP, 2011)

Simultaneous Similarity Learning and Feature-Weight Learning for Document Clustering. - Pradeep Muthukrishnan; Dragomir R. Radev; Qiaozhu Mei (Graph-based Methods for Natural Language Processing, 2011)

Mining of vaccine-associated IFN-γ gene interaction networks using the Vaccine Ontology. - Arzucan Özgür; Zuoshuang Xiang; Dragomir R. Radev; Yongqun He (J. Biomed. Semant., 2011)

U-Compare bio-event meta-service: compatible BioNLP event extraction services. - Yoshinobu Kano; Jari Björne; Filip Ginter; Tapio Salakoski; Ekaterina Buyko; Udo Hahn; K. Bretonnel Cohen; Karin Verspoor; Christophe Roeder; Lawrence E. Hunter; Halil Kilicoglu; Sabine Bergler; et al. (BMC Bioinform., 2011)

The effect of linguistic constraints on the large scale organization of language - Madhav Krishna; Ahmed Hassan Awadallah; Yang Liu 019; Dragomir R. Radev (CoRR, 2011)

Improving Image Search based on User Created Communities - Amruta Joshi; Junghoo Cho; Dragomir R. Radev; Ahmed Hassan Awadallah (CoRR, 2011)

Subgroup Detection in Ideological Discussions. - Amjad Abu-Jbara; Pradeep Dasigi; Mona T. Diab; Dragomir R. Radev (ACL (1), 2012)

Subgroup Detector: A System for Detecting Subgroups in Online Discussions. - Amjad Abu-Jbara; Dragomir R. Radev (ACL (System Demonstrations), 2012)

Rediscovering ACL Discoveries Through the Lens of ACL Anthology Network Citing Sentences. - Dragomir R. Radev; Amjad Abu-Jbara (Discoveries@ACL, 2012)

Detecting Subgroups in Online Discussions by Modeling Positive and Negative Relations among Participants. - Ahmed Hassan Awadallah; Amjad Abu-Jbara; Dragomir R. Radev (EMNLP-CoNLL, 2012)

AttitudeMiner: Mining Attitude from Online Discussions. - Amjad Abu-Jbara; Ahmed Hassan Awadallah; Dragomir R. Radev (HLT-NAACL, 2012)

Reference Scope Identification in Citing Sentences. - Amjad Abu-Jbara; Dragomir R. Radev (HLT-NAACL, 2012)

UMichigan: A Conditional Random Field Model for Resolving the Scope of Negation. - Amjad Abu-Jbara; Dragomir R. Radev (*SEM@NAACL-HLT, 2012)

Extracting Signed Social Networks from Text. - Ahmed Hassan Awadallah; Amjad Abu-Jbara; Dragomir R. Radev (TextGraphs@ACL, 2012)

A Computational Analysis of Collective Discourse - Vahed Qazvinian; Dragomir R. Radev (CoRR, 2012)

Puzzles in Logic, Languages and Computation - The Red Book - Dragomir R. Radev (Springer, 2013)

Identifying Opinion Subgroups in Arabic Online Discussions. - Amjad Abu-Jbara; Ben King; Mona T. Diab; Dragomir R. Radev (ACL (2), 2013)

A System for Summarizing Scientific Topics Starting from Keywords. - Rahul Jha; Amjad Abu-Jbara; Dragomir R. Radev (ACL (2), 2013)

Random Walk Factoid Annotation for Collective Discourse. - Ben King; Rahul Jha; Dragomir R. Radev; Robert Mankoff (ACL (2), 2013)

Experimental Results on the Native Language Identification Shared Task. - Amjad Abu-Jbara; Rahul Jha; Eric Morley; Dragomir R. Radev (BEA@NAACL-HLT, 2013)

Purpose and Polarity of Citation: Towards NLP-based Bibliometrics. - Amjad Abu-Jbara; Jefferson Ezra; Dragomir R. Radev (HLT-NAACL, 2013)

Generating Extractive Summaries of Scientific Paradigms. - Vahed Qazvinian; Dragomir R. Radev; Saif M. Mohammad; Bonnie J. Dorr; David M. Zajic; Michael Whidby; Taesun Moon (J. Artif. Intell. Res., 2013)

The ACL anthology network corpus. - Dragomir R. Radev; Pradeep Muthukrishnan; Vahed Qazvinian; Amjad Abu-Jbara (Lang. Resour. Evaluation, 2013)

Experiments in Sentence Language Identification with Groups of Similar Languages. - Ben King; Dragomir R. Radev; Steven P. Abney (VarDial@COLING, 2014)

A Random Walk-Based Model for Identifying Semantic Orientation. - Ahmed Hassan Awadallah; Amjad Abu-Jbara; Wanchen Lu; Dragomir R. Radev (Comput. Linguistics, 2014)

Heterogeneous Networks and Their Applications: Scientometrics, Name Disambiguation, and Topic Modeling. - Ben King; Rahul Jha; Dragomir R. Radev (Trans. Assoc. Comput. Linguistics, 2014)

Surveyor: A System for Generating Coherent Survey Articles for Scientific Topics. - Rahul Jha; Reed Coke; Dragomir R. Radev (AAAI, 2015)

Content Models for Survey Generation: A Factoid-Based Evaluation. - Rahul Jha; Catherine Finegan-Dollak; Ben King; Reed Coke; Dragomir R. Radev (ACL (1), 2015)

A survey of graphs in natural language processing. - Vivi Nastase; Rada Mihalcea; Dragomir R. Radev (Nat. Lang. Eng., 2015)

Effects of Creativity and Cluster Tightness on Short Text Clustering Performance. - Catherine Finegan-Dollak; Reed Coke; Rui Zhang 037; Xiangyi Ye; Dragomir R. Radev (ACL (1), 2016)

Nested Propositions in Open Information Extraction. - Nikita Bhutani; H. V. Jagadish; Dragomir R. Radev (EMNLP, 2016)

Ignet: A Centrality and INO-based Web System for Analyzing and Visualizing Literature-mined Networks. - Arzucan Özgür; Junguk Hur; Zuoshuang Xiang; Edison Ong; Dragomir R. Radev; Yongqun He (ICBO/BioCreative, 2016)

Extractive Summarization under Strict Length Constraints. - Yashar Mehdad; Amanda Stent; Kapil Thadani; Dragomir R. Radev; Youssef Billawala; Karolina Buchner (LREC, 2016)

Sentence Similarity based on Dependency Tree Kernels for Multi-document Summarization. - Saziye Betül Özates; Arzucan Özgür; Dragomir R. Radev (LREC, 2016)

Humor in Collective Discourse: Unsupervised Funniness Detection in the New Yorker Cartoon Caption Contest. - Dragomir R. Radev; Amanda Stent; Joel R. Tetreault; Aasish Pappu; Aikaterini Iliakopoulou; Agustin Chanfreau; Paloma de Juan; Jordi Vallmitjana; Alejandro Jaimes; Rahul Jha; Robert Mankoff (LREC, 2016)

A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization. - William Yang Wang; Yashar Mehdad; Dragomir R. Radev; Amanda Stent (HLT-NAACL, 2016)

Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents. - Rui Zhang 037; Honglak Lee; Dragomir R. Radev (HLT-NAACL, 2016)

Classifying Syntactic Regularities for Hundreds of Languages. - Reed Coke; Ben King; Dragomir R. Radev (CoRR, 2016)

Sentence Ordering using Recurrent Neural Networks. - Lajanugen Logeswaran; Honglak Lee; Dragomir R. Radev (CoRR, 2016)

Sentence simplification, compression, and disaggregation for summarization of sophisticated documents. - Catherine Finegan-Dollak; Dragomir R. Radev (J. Assoc. Inf. Sci. Technol., 2016)

Predicting the impact of scientific concepts using full-text features. - Kathy McKeown; Hal Daumé III; Snigdha Chaturvedi; John Paparrizos; Kapil Thadani; Pablo Barrio 002; Or Biran; Suvarna Bothe; Michael Collins 001; Kenneth R. Fleischmann; Luis Gravano; Rahul Jha; et al. (J. Assoc. Inf. Sci. Technol., 2016)

A bibliometric and network analysis of the field of computational linguistics. - Dragomir R. Radev; Mark Thomas Joseph; Bryan R. Gibson; Pradeep Muthukrishnan (J. Assoc. Inf. Sci. Technol., 2016)

Graph-based Neural Multi-Document Summarization. - Michihiro Yasunaga; Rui Zhang 037; Kshitijh Meelu; Ayush Pareek; Krishnan Srinivasan; Dragomir R. Radev (CoNLL, 2017)

NLP-driven citation analysis for scientometrics. - Rahul Jha; Amjad Abu-Jbara; Vahed Qazvinian; Dragomir R. Radev (Nat. Lang. Eng., 2017)

Sentence Ordering and Coherence Modeling using Recurrent Neural Networks. - Lajanugen Logeswaran; Honglak Lee; Dragomir R. Radev (AAAI, 2018)

Addressee and Response Selection in Multi-Party Conversations With Speaker Interaction RNNs. - Rui Zhang 037; Honglak Lee; Lazaros Polymenakos; Dragomir R. Radev (AAAI, 2018)

TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation. - Alexander R. Fabbri; Irene Li; Prawat Trairatvorakul; Yijiao He; Wei Tai Ting; Robert Tung; Caitlin Westerfield; Dragomir R. Radev (ACL (1), 2018)

Improving Text-to-SQL Evaluation Methodology. - Catherine Finegan-Dollak; Jonathan K. Kummerfeld; Li Zhang 039; Karthik Ramanathan; Sesh Sadasivam; Rui Zhang 037; Dragomir R. Radev (ACL (1), 2018)

Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering. - Rui Zhang 037; Cícero Nogueira dos Santos; Michihiro Yasunaga; Bing Xiang; Dragomir R. Radev (ACL (2), 2018)

SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task. - Tao Yu 009; Michihiro Yasunaga; Kai Yang; Rui Zhang 037; Dongxu Wang; Zifan Li; Dragomir R. Radev (EMNLP, 2018)

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task. - Tao Yu 009; Rui Zhang 037; Kai Yang; Michihiro Yasunaga; Dongxu Wang; Zifan Li; James Ma; Irene Li; Qingning Yao; Shanelle Roman; Zilin Zhang; Dragomir R. Radev (EMNLP, 2018)

Robust Multilingual Part-of-Speech Tagging via Adversarial Training. - Michihiro Yasunaga; Jungo Kasai; Dragomir R. Radev (NAACL-HLT, 2018)

TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL Generation. - Tao Yu 009; Zifan Li; Zilin Zhang; Rui Zhang 037; Dragomir R. Radev (NAACL-HLT (2), 2018)

The CL-SciSumm Shared Task 2018: Results and Key Insights. - Kokil Jaidka; Michihiro Yasunaga; Muthu Kumar Chandrasekaran; Dragomir R. Radev; Min-Yen Kan (BIRNDL@SIGIR, 2018)

Zero-shot Transfer Learning for Semantic Parsing. - Javid Dadashkarimi; Alexander R. Fabbri; Sekhar Tatikonda; Dragomir R. Radev (CoRR, 2018)

SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task. - Tao Yu 009; Michihiro Yasunaga; Kai Yang; Rui Zhang 037; Dongxu Wang; Zifan Li; Dragomir R. Radev (CoRR, 2018)

What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning. - Irene Li; Alexander R. Fabbri; Robert R. Tung; Dragomir R. Radev (AAAI, 2019)

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. - Michihiro Yasunaga; Jungo Kasai; Rui Zhang 037; Alexander R. Fabbri; Irene Li; Dan Friedman; Dragomir R. Radev (AAAI, 2019)

Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. - Alexander R. Fabbri; Irene Li; Tianwei She; Suyi Li 002; Dragomir R. Radev (ACL (1), 2019)

SParC: Cross-Domain Semantic Parsing in Context. - Tao Yu 009; Rui Zhang 037; Michihiro Yasunaga; Yi Chern Tan; Xi Victoria Lin; Suyi Li 002; Heyang Er; Irene Li; Bo Pang 004; Tao Chen; Emily Ji; Shreya Dixit; et al. (ACL (1), 2019)

Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations. - Rui Zhang 037; Caitlin Westerfield; Sungrok Shim; Garrett Bingham; Alexander R. Fabbri; William Hu; Neha Verma 001; Dragomir R. Radev (ACL (1), 2019)

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. - Tao Yu 009; Rui Zhang 037; Heyang Er; Suyi Li 002; Eric Xue 001; Bo Pang 004; Xi Victoria Lin; Yi Chern Tan; Tianze Shi; Zihan Li; Youxuan Jiang; Michihiro Yasunaga; et al. (EMNLP/IJCNLP (1), 2019)

Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. - Rui Zhang 037; Tao Yu 009; Heyang Er; Sungrok Shim; Eric Xue 001; Xi Victoria Lin; Tianze Shi; Caiming Xiong; Richard Socher; Dragomir R. Radev (EMNLP/IJCNLP (1), 2019)

Surprise Languages: Rapid-Response Cross-Language IR. - Douglas W. Oard; Marine Carpuat; Petra Galuscáková; Joseph Barrow; Suraj Nair 001; Xing Niu 001; Han-Chin Shing; Weijia Xu; Elena Zotkina; Kathleen R. McKeown; Smaranda Muresan; Efsun Selin Kayi; et al. (EVIA@NTCIR, 2019)

Syntax-aware Neural Semantic Role Labeling with Supertags. - Jungo Kasai; Dan Friedman; Robert Frank 001; Dragomir R. Radev; Owen Rambow (NAACL-HLT (1), 2019)

Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019). - Muthu Kumar Chandrasekaran; Philipp Mayr 001; Michihiro Yasunaga; Dayne Freitag; Dragomir R. Radev; Min-Yen Kan (SIGIR, 2019)

Overview and Results: CL-SciSumm Shared Task 2019. - Muthu Kumar Chandrasekaran; Michihiro Yasunaga; Dragomir R. Radev; Dayne Freitag; Min-Yen Kan (BIRNDL@SIGIR, 2019)

Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess. - Youngnam Lee; Youngduck Choi; Junghyun Cho; Alexander R. Fabbri; Hyunbin Loh; Chanyou Hwang; Yongku Lee; Sang-Wook Kim; Dragomir R. Radev (CoRR, 2019)

A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation. - Irene Li; Michihiro Yasunaga; Muhammed Yavuz Nuzumlali; Cesar Caraballo; Shiwani Mahajan; Harlan M. Krumholz; Dragomir R. Radev (CoRR, 2019)

ESPRIT: Explaining Solutions to Physical Reasoning Tasks. - Nazneen Fatema Rajani; Rui Zhang 037; Yi Chern Tan; Stephan Zheng; Jeremy Weiss; Aadit Vyas; Abhijit Gupta; Caiming Xiong; Richard Socher; Dragomir R. Radev (ACL, 2020)

R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. - Irene Li; Alexander R. Fabbri; Swapnil Hingmire; Dragomir R. Radev (COLING, 2020)

Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. - Wenpeng Yin 001; Nazneen Fatema Rajani; Dragomir R. Radev; Richard Socher; Caiming Xiong (EMNLP (1), 2020)

CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization. - Andre Esteva; Anuprit Kale; Romain Paulus; Kazuma Hashimoto; Wenpeng Yin 001; Dragomir R. Radev; Richard Socher (CoRR, 2020)

DART: Open-Domain Structured Data Record to Text Generation. - Dragomir R. Radev; Rui Zhang 037; Amrit Rau; Abhinand Sivaprasad; Chiachun Hsieh; Nazneen Fatema Rajani; Xiangru Tang; Aadit Vyas; Neha Verma 001; Pranav Krishna; Yangxiaokang Liu; Nadia Irwanto; et al. (CoRR, 2020)

Extending sparse text with induced domain-specific lexicons and embeddings: A case study on predicting donations. - MeiXing Dong; Rada Mihalcea; Dragomir R. Radev (Comput. Speech Lang., 2020)

ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining. - Alexander R. Fabbri; Faiaz Rahman; Imad Rizvi; Borui Wang; Haoran Li 007; Yashar Mehdad; Dragomir R. Radev (ACL/IJCNLP (1), 2021)

Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders. - Irene Li; Vanessa Yan; Tianxiao Li; Rihao Qu; Dragomir R. Radev (ACL/IJCNLP (2), 2021)

DocNLI: A Large-scale Dataset for Document-level Natural Language Inference. - Wenpeng Yin 001; Dragomir R. Radev; Caiming Xiong (ACL/IJCNLP (Findings), 2021)

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. - Yusen Zhang 001; Ansong Ni; Tao Yu 009; Rui Zhang 037; Chenguang Zhu 001; Budhaditya Deb; Asli Celikyilmaz; Ahmed Hassan Awadallah; Dragomir R. Radev (EMNLP (Findings), 2021)

SummerTime: Text Summarization Toolkit for Non-experts. - Ansong Ni; Zhangir Azerbayev; Mutethia Mutuma; Troy Feng; Yusen Zhang 001; Tao Yu 009; Ahmed Hassan Awadallah; Dragomir R. Radev (EMNLP (Demos), 2021)

Testing Cross-Database Semantic Parsers With Canonical Utterances. - Heather C. Lent; Semih Yavuz; Tao Yu 009; Tong Niu; Yingbo Zhou; Dragomir Radev; Xi Victoria Lin (Eval4NLP, 2021)

GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. - Tao Yu 009; Chien-Sheng Wu; Xi Victoria Lin; Bailin Wang; Yi Chern Tan; Xinyi Yang 002; Dragomir R. Radev; Richard Socher; Caiming Xiong (ICLR, 2021)

Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. - Alexander R. Fabbri; Simeng Han; Haoyuan Li; Haoran Li 007; Marjan Ghazvininejad; Shafiq R. Joty; Dragomir R. Radev; Yashar Mehdad (NAACL-HLT, 2021)

DART: Open-Domain Structured Data Record to Text Generation. - Linyong Nan; Dragomir R. Radev; Rui Zhang 037; Amrit Rau; Abhinand Sivaprasad; Chiachun Hsieh; Xiangru Tang; Aadit Vyas; Neha Verma 001; Pranav Krishna; Yangxiaokang Liu; Nadia Irwanto; et al. (NAACL-HLT, 2021)

QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization. - Ming Zhong 005; Da Yin; Tao Yu 009; Ahmad Zaidi; Mutethia Mutuma; Rahul Jha; Ahmed Hassan Awadallah; Asli Celikyilmaz; Yang Liu 124; Xipeng Qiu; Dragomir R. Radev (NAACL-HLT, 2021)

Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting. - Irene Li; Prithviraj Sen; Huaiyu Zhu 001; Yunyao Li 001; Dragomir R. Radev (RepL4NLP@ACL-IJCNLP, 2021)

FeTaQA: Free-form Table Question Answering. - Linyong Nan; Chiachun Hsieh; Ziming Mao; Xi Victoria Lin; Neha Verma 001; Rui Zhang 037; Wojciech Kryscinski; Nick Schoelkopf; Riley Kong; Xiangru Tang; Murori Mutuma; Ben Rosand; et al. (CoRR, 2021)

Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains. - Irene Li; Vanessa Yan; Dragomir R. Radev (CoRR, 2021)

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. - Xiangru Tang; Alexander R. Fabbri; Ziming Mao; Griffin Adams; Borui Wang; Haoran Li 007; Yashar Mehdad; Dragomir R. Radev (CoRR, 2021)

3D-Transformer: Molecular Representation with Transformer in 3D Space. - Fang Wu 002; Qiang Zhang 026; Dragomir R. Radev; Jiyu Cui; Wen Zhang 015; Huabin Xing; Ningyu Zhang 001; Huajun Chen (CoRR, 2021)

CLICKER: A Computational LInguistics Classification Scheme for Educational Resources. - Swapnil Hingmire; Irene Li; Rena Kawamura; Benjamin Chen; Alexander R. Fabbri; Xiangru Tang; Yixin Liu 003; Thomas George; Tammy Liao; Wai Pan Wong; Vanessa Yan; Richard Zhou; et al. (CoRR, 2021)

COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization. - Andre Esteva; Anuprit Kale; Romain Paulus; Kazuma Hashimoto; Wenpeng Yin 001; Dragomir Radev; Richard Socher (npj Digit. Medicine, 2021)

SummEval: Re-evaluating Summarization Evaluation. - Alexander R. Fabbri; Wojciech Kryscinski; Bryan McCann; Caiming Xiong; Richard Socher; Dragomir R. Radev (Trans. Assoc. Comput. Linguistics, 2021)

SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. - Yusen Zhang 001; Ansong Ni; Ziming Mao; Chen Henry Wu; Chenguang Zhu 001; Budhaditya Deb; Ahmed Hassan Awadallah; Dragomir R. Radev; Rui Zhang 037 (ACL (1), 2022)

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. - Stephen H. Bach; Victor Sanh; Zheng Xin Yong; Albert Webson; Colin Raffel; Nihal V. Nayak; Abheesht Sharma; Taewoon Kim 002; M. Saiful Bari; Thibault Févry; Zaid Alyafeai; Manan Dey; et al. (ACL (demo), 2022)

BRIO: Bringing Order to Abstractive Summarization. - Yixin Liu 003; Pengfei Liu 003; Dragomir R. Radev; Graham Neubig (ACL (1), 2022)

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. - Ziming Mao; Chen Henry Wu; Ansong Ni; Yusen Zhang 001; Rui Zhang 037; Tao Yu 009; Budhaditya Deb; Chenguang Zhu 001; Ahmed Hassan Awadallah; Dragomir R. Radev (ACL (1), 2022)

Twist Decoding: Diverse Generators Guide Each Other. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Hao Peng 009; Ximing Lu; Dragomir Radev; Yejin Choi 001; Noah A. Smith (EMNLP, 2022)

BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization. - Wojciech Kryscinski; Nazneen Rajani; Divyansh Agarwal; Caiming Xiong; Dragomir Radev (EMNLP (Findings), 2022)

Leveraging Locality in Abstractive Text Summarization. - Yixin Liu 003; Ansong Ni; Linyong Nan; Budhaditya Deb; Chenguang Zhu 001; Ahmed Hassan Awadallah; Dragomir Radev (EMNLP, 2022)

Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. - Ye Liu 006; Semih Yavuz; Rui Meng; Dragomir Radev; Caiming Xiong; Yingbo Zhou (EMNLP, 2022)

R2D2: Robust Data-to-Text with Replacement Detection. - Linyong Nan; Lorenzo Jaime Yu Flores; Yilun Zhao 001; Yixin Liu 003; Luke Benson; Weijin Zou; Dragomir Radev (EMNLP, 2022)

STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension. - Borui Wang; Chengcheng Feng; Arjun Nair; Madelyn Mao; Jai Desai; Asli Celikyilmaz; Haoran Li 007; Yashar Mehdad; Dragomir Radev (EMNLP, 2022)

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. - Tianbao Xie; Chen Henry Wu; Peng Shi 010; Ruiqi Zhong; Torsten Scholak; Michihiro Yasunaga; Chien-Sheng Wu; Ming Zhong 005; Pengcheng Yin; Sida I. Wang; Victor Zhong; Bailin Wang; et al. (EMNLP, 2022)

ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples. - Yilun Zhao 001; Linyong Nan; Zhenting Qi; Rui Zhang 037; Dragomir Radev (EMNLP, 2022)

Data Governance in the Age of Large-Scale Data-Driven Language Technology. - Yacine Jernite; Huu Nguyen; Stella Biderman; Anna Rogers; Maraim Masoud; Valentin Danchev; Samson Tan; Alexandra Sasha Luccioni; Nishant Subramani; Isaac Johnson 001; Gérard Dupont; Jesse Dodge; et al. (FAccT, 2022)

Surfer100: Generating Surveys From Web Resources, Wikipedia-style. - Irene Li; Alexander R. Fabbri; Rina Kawamura; Yixin Liu 003; Xiangru Tang; Jaesung Tae; Chang Shen; Sally Ma; Tomoe Mizutani; Dragomir Radev (LREC, 2022)

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. - Xiangru Tang; Alexander R. Fabbri; Haoran Li 007; Ziming Mao; Griffin Adams; Borui Wang; Asli Celikyilmaz; Yashar Mehdad; Dragomir R. Radev (NAACL-HLT, 2022)

CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning. - Xiangru Tang; Arjun Nair; Borui Wang; Bingyao Wang; Jai Desai; Aaron Wade; Haoran Li 007; Asli Celikyilmaz; Yashar Mehdad; Dragomir R. Radev (NAACL-HLT, 2022)

A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation. - Irene Li; Thomas George; Alexander R. Fabbri; Tammy Liao; Benjamin Chen; Rina Kawamura; Richard Zhou; Vanessa Yan; Swapnil Hingmire; Dragomir R. Radev (CoRR, 2022)

Beam Decoding with Controlled Patience. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Dragomir R. Radev; Yejin Choi 001; Noah A. Smith (CoRR, 2022)

EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts. - Irene Li; Keen You; Xiangru Tang; Yujie Qiao; Lucas Huang; Chiachun Hsieh; Benjamin Rosand; Dragomir R. Radev (CoRR, 2022)

Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding. - Fang Wu 002; Qiang Zhang 026; Dragomir R. Radev; Yuyang Wang; Xurui Jin; Yinghui Jiang; Zhangming Niu; Stan Z. Li (CoRR, 2022)

Discovering the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions. - Fang Wu 002; Siyuan Li 002; Lirong Wu; Dragomir R. Radev; Qiang Zhang 026; Stan Z. Li (CoRR, 2022)

Learning from Self-Sampled Correct and Partially-Correct Programs. - Ansong Ni; Jeevana Priya Inala; Chenglong Wang; Oleksandr Polozov; Christopher Meek; Dragomir R. Radev; Jianfeng Gao 001 (CoRR, 2022)

Data Governance in the Age of Large-Scale Data-Driven Language Technology. - Yacine Jernite; Huu Nguyen; Stella Biderman; Anna Rogers; Maraim Masoud; Valentin Danchev; Samson Tan; Alexandra Sasha Luccioni; Nishant Subramani; Gérard Dupont; Jesse Dodge; Kyle Lo; et al. (CoRR, 2022)

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. - Sebastian Gehrmann; Abhik Bhattacharjee; Abinaya Mahendiran; Alex Wang; Alexandros Papangelis; Aman Madaan; Angelina McMillan-Major; Anna Shvets; Ashish Upadhyay; Bingsheng Yao; Bryan Wilie; Chandra Bhagavatula; et al. (CoRR, 2022)

FOLIO: Natural Language Reasoning with First-Order Logic. - Simeng Han; Hailey Schoelkopf; Yilun Zhao 001; Zhenting Qi; Martin Riddell; Luke Benson; Lucy Sun; Ekaterina Zubova; Yujie Qiao; Matthew Burtell; David Peng; Jonathan Fan 001; et al. (CoRR, 2022)

CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing. - Divyansh Agarwal; Alexander R. Fabbri; Simeng Han; Wojciech Kryscinski; Faisal Ladhak; Bryan Li; Kathleen R. McKeown; Dragomir Radev; Tianyi Zhang; Sam Wiseman (CoRR, 2022)

Explicit Knowledge Transfer for Weakly-Supervised Code Generation. - Zhangir Azerbayev; Ansong Ni; Hailey Schoelkopf; Dragomir Radev (CoRR, 2022)

When Geometric Deep Learning Meets Pretrained Protein Language Models. - Fang Wu 002; Tao Yu 009; Dragomir Radev; Jinbo Xu (CoRR, 2022)

BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. - Zheng Xin Yong; Hailey Schoelkopf; Niklas Muennighoff; Alham Fikri Aji; David Ifeoluwa Adelani; Khalid Almubarak; M. Saiful Bari; Lintang Sutawika; Jungo Kasai; Ahmed Baruwa; Genta Indra Winata; Stella Biderman; et al. (CoRR, 2022)

Neural Natural Language Processing for unstructured data in electronic health records: A review. - Irene Li; Jessica Pan; Jeremy Goldwasser; Neha Verma 001; Wai Pan Wong; Muhammed Yavuz Nuzumlali; Benjamin Rosand; Yixin Li; Matthew Zhang; David Chang; Richard Andrew Taylor; Harlan M. Krumholz; et al. (Comput. Sci. Rev., 2022)

FeTaQA: Free-form Table Question Answering. - Linyong Nan; Chiachun Hsieh; Ziming Mao; Xi Victoria Lin; Neha Verma 001; Rui Zhang 037; Wojciech Kryscinski; Hailey Schoelkopf; Riley Kong; Xiangru Tang; Mutethia Mutuma; Ben Rosand; et al. (Trans. Assoc. Comput. Linguistics, 2022)

Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs. - Fang Wu 002; Dragomir Radev; Stan Z. Li (AAAI, 2023)

bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. - Momchil Hardalov; Pepa Atanasova; Todor Mihaylov; Galia Angelova; Kiril Simov; Petya Osenova; Veselin Stoyanov; Ivan Koychev; Preslav Nakov; Dragomir Radev (ACL (1), 2023)

HiPool: Modeling Long Documents Using Graph Neural Networks. - Irene Li; Aosong Feng; Dragomir Radev; Rex Ying (ACL (2), 2023)

On Improving Summarization Factual Consistency from Natural Language Feedback. - Yixin Liu 003; Budhaditya Deb; Milagro Teruel; Aaron Halfaker; Dragomir Radev; Ahmed Hassan Awadallah (ACL (1), 2023)

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. - Yixin Liu 003; Alexander R. Fabbri; Pengfei Liu 003; Yilun Zhao 001; Linyong Nan; Ruilin Han; Simeng Han; Shafiq Joty; Chien-Sheng Wu; Caiming Xiong; Dragomir Radev (ACL (1), 2023)

Crosslingual Generalization through Multitask Finetuning. - Niklas Muennighoff; Thomas Wang; Lintang Sutawika; Adam Roberts; Stella Biderman; Teven Le Scao; M. Saiful Bari; Sheng Shen 001; Zheng Xin Yong; Hailey Schoelkopf; Xiangru Tang; Dragomir Radev; et al. (ACL (1), 2023)

Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models. - Borui Wang; Qiuyuan Huang; Budhaditya Deb; Aaron Halfaker; Liqun Shao; Daniel McDuff; Ahmed Hassan Awadallah; Dragomir Radev; Jianfeng Gao 001 (ACL (Findings), 2023)

BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. - Zheng Xin Yong; Hailey Schoelkopf; Niklas Muennighoff; Alham Fikri Aji; David Ifeoluwa Adelani; Khalid Almubarak; M. Saiful Bari; Lintang Sutawika; Jungo Kasai; Ahmed Baruwa; Genta Indra Winata; Stella Biderman; et al. (ACL (1), 2023)

OpenRT: An Open-source Framework for Reasoning Over Tabular Data. - Yilun Zhao 001; Boyu Mi; Zhenting Qi; Linyong Nan; Minghao Guo; Arman Cohan; Dragomir Radev (ACL (demo), 2023)

RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations. - Yilun Zhao 001; Chen Zhao; Linyong Nan; Zhenting Qi; Wenlin Zhang; Xiangru Tang; Boyu Mi; Dragomir Radev (ACL (1), 2023)

A Transfer Learning Pipeline for Educational Resource Discovery with Application in Survey Generation. - Irene Li; Thomas George; Alexander R. Fabbri; Tammy Liao; Benjamin Chen; Rina Kawamura; Richard Zhou; Vanessa Yan; Swapnil Hingmire; Dragomir Radev (BEA@ACL, 2023)

LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control. - Yilun Zhao 001; Zhenting Qi; Linyong Nan; Lorenzo Jaime Yu Flores; Dragomir Radev (EACL, 2023)

QTSumm: Query-Focused Summarization over Tabular Data. - Yilun Zhao 001; Zhenting Qi; Linyong Nan; Boyu Mi; Yixin Liu 003; Weijin Zou; Simeng Han; Ruizhe Chen; Xiangru Tang; Yumo Xu; Dragomir Radev; Arman Cohan (EMNLP, 2023)

Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. - Yixin Liu 003; Alexander R. Fabbri; Yilun Zhao 001; Pengfei Liu 003; Shafiq Joty; Chien-Sheng Wu; Caiming Xiong; Dragomir Radev (EMNLP, 2023)

HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution. - Ye Liu 006; Semih Yavuz; Rui Meng; Dragomir Radev; Caiming Xiong; Shafiq Joty; Yingbo Zhou (EMNLP (Findings), 2023)

Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. - Linyong Nan; Yilun Zhao 001; Weijin Zou; Narutatsu Ri; Jaesung Tae; Ellen Zhang; Arman Cohan; Dragomir Radev (EMNLP (Findings), 2023)

Binding Language Models in Symbolic Languages. - Zhoujun Cheng; Tianbao Xie; Peng Shi 010; Chengzu Li; Rahul Nadkarni; Yushi Hu; Caiming Xiong; Dragomir Radev; Mari Ostendorf; Luke Zettlemoyer; Noah A. Smith; Tao Yu 009 (ICLR, 2023)

Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions. - Ansong Ni; Jeevana Priya Inala; Chenglong Wang; Alex Polozov; Christopher Meek; Dragomir Radev; Jianfeng Gao 001 (ICLR, 2023)

LEVER: Learning to Verify Language-to-Code Generation with Execution. - Ansong Ni; Srini Iyer 001; Dragomir Radev; Veselin Stoyanov; Wen-Tau Yih; Sida I. Wang; Xi Victoria Lin (ICML, 2023)

Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching. - Fang Wu 002; Siyuan Li 002; Xurui Jin; Yinghui Jiang; Dragomir Radev; Zhangming Niu; Stan Z. Li (ICML, 2023)

RealTime QA: What's the Answer Right Now? - Jungo Kasai; Keisuke Sakaguchi; Yoichi Takahashi; Ronan Le Bras 001; Akari Asai; Xinyan Yu 001; Dragomir Radev; Noah A. Smith; Yejin Choi 001; Kentaro Inui (NeurIPS, 2023)

Explaining Graph Neural Networks via Non-parametric Subgraph Matching. - Fang Wu 002; Siyuan Li 002; Lirong Wu; Dragomir Radev; Yinghui Jiang; Xurui Jin; Zhangming Niu; Stan Z. Li (CoRR, 2023)

ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics. - Zhangir Azerbayev; Bartosz Piotrowski; Hailey Schoelkopf; Edward W. Ayers; Dragomir Radev; Jeremy Avigad (CoRR, 2023)

Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations. - Jungo Kasai; Yuhei Kasai; Keisuke Sakaguchi; Yutaro Yamada; Dragomir Radev (CoRR, 2023)

Answering Complex Questions over Text by Hybrid Question Parsing and Execution. - Ye Liu 006; Semih Yavuz; Rui Meng; Dragomir Radev; Caiming Xiong; Yingbo Zhou (CoRR, 2023)

Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. - Linyong Nan; Yilun Zhao 001; Weijin Zou; Narutatsu Ri; Jaesung Tae; Ellen Zhang; Arman Cohan; Dragomir Radev (CoRR, 2023)

On Learning to Summarize with Large Language Models as References. - Yixin Liu 003; Alexander R. Fabbri; Pengfei Liu 003; Dragomir Radev; Arman Cohan (CoRR, 2023)

QTSumm: A New Benchmark for Query-Focused Table Summarization. - Yilun Zhao 001; Zhenting Qi; Linyong Nan; Boyu Mi; Yixin Liu 003; Weijin Zou; Simeng Han; Xiangru Tang; Yumo Xu; Arman Cohan; Dragomir Radev (CoRR, 2023)

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. - Ansong Ni; Pengcheng Yin; Yilun Zhao 001; Martin Riddell; Troy Feng; Rui Shen; Stephen Yin; Ye Liu 006; Semih Yavuz; Caiming Xiong; Shafiq Joty; Yingbo Zhou; et al. (CoRR, 2023)

MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing. - Rui Yang 016; Qingcheng Zeng; Keen You; Yujie Qiao; Lucas Huang; Chiachun Hsieh; Benjamin Rosand; Jeremy Goldwasser; Amisha D. Dave; Tiarnan D. L. Keenan; Emily Y. Chew; Dragomir Radev; et al. (CoRR, 2023)

MACSum: Controllable Summarization with Mixed Attributes. - Yusen Zhang 001; Yang Liu 124; Ziyi Yang; Yuwei Fang; Yulong Chen 001; Dragomir Radev; Chenguang Zhu 001; Michael Zeng 001; Rui Zhang 037 (Trans. Assoc. Comput. Linguistics, 2023)

A Call for Clarity in Beam Search: How It Works and When It Stops. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Dragomir Radev; Yejin Choi 001; Noah A. Smith (LREC/COLING, 2024)

FOLIO: Natural Language Reasoning with First-Order Logic. - Simeng Han; Hailey Schoelkopf; Yilun Zhao 001; Zhenting Qi; Martin Riddell; Wenfei Zhou; James Coady; David Peng; Yujie Qiao; Luke Benson; Lucy Sun; Alexander Wardle-Solano; et al. (EMNLP, 2024)

P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. - Simeng Han; Aaron Yu; Rui Shen; Zhenting Qi; Martin Riddell; Wenfei Zhou; Yujie Qiao; Yilun Zhao 001; Semih Yavuz; Ye Liu 006; Shafiq Joty; Yingbo Zhou; et al. (EMNLP (Findings), 2024)

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. - Yixin Liu 003; Alexander R. Fabbri; Jiawen Chen; Yilun Zhao 001; Simeng Han; Shafiq Joty; Pengfei Liu 003; Dragomir Radev; Chien-Sheng Wu; Arman Cohan (NAACL-HLT (Findings), 2024)

On Learning to Summarize with Large Language Models as References. - Yixin Liu 003; Kejian Shi; Katherine He; Longtian Ye; Alexander R. Fabbri; Pengfei Liu 003; Dragomir Radev; Arman Cohan (NAACL-HLT, 2024)

Fair Abstractive Summarization of Diverse Perspectives. - Yusen Zhang 001; Nan Zhang; Yixin Liu 003; Alexander R. Fabbri; Junru Liu; Ryo Kamoi; Xiaoxin Lu; Caiming Xiong; Jieyu Zhao 001; Dragomir Radev; Kathleen R. McKeown; Rui Zhang 037 (NAACL-HLT, 2024)

ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models. - Nathan A. Chi; Teodor Malchev; Riley Kong; Ryan Chi; Lucas Huang; Ethan A. Chi; R. Thomas McCoy; Dragomir Radev (SIGTYPE, 2024)

modeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models. - Nathan A. Chi; Teodor Malchev; Riley Kong; Ryan A. Chi; Lucas Huang; Ethan A. Chi; R. Thomas McCoy; Dragomir Radev (CoRR, 2024)

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. - Ansong Ni; Pengcheng Yin; Yilun Zhao 001; Martin Riddell; Troy Feng; Rui Shen; Stephen Yin; Ye Liu 006; Semih Yavuz; Caiming Xiong; Shafiq Joty; Yingbo Zhou; et al. (Trans. Assoc. Comput. Linguistics, 2024)

SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models. - Margaret Mitchell; Giuseppe Attanasio; Ioana Baldini; Miruna Clinciu; Jordan Clive; Pieter Delobelle; Manan Dey; Sil Hamilton; Timm Dill; Jad Doughman; Ritam Dutt; Avijit Ghosh; et al. (NAACL (Long Papers), 2025)