PARMA: A Predicate Argument Aligner. - Travis Wolfe; Benjamin Van Durme; Mark Dredze; Nicholas Andrews; Charley Beller; Chris Callison-Burch; Jay DeYoung; Justin Snyder; Jonathan Weese; Tan Xu; Xuchen Yao (ACL (2), 2013)

A Concrete Chinese NLP Pipeline. - Nanyun Peng 001; Francis Ferraro; Mo Yu; Nicholas Andrews; Jay DeYoung; Max Thomas; Matthew R. Gormley; Travis Wolfe; Craig Harman; Benjamin Van Durme; Mark Dredze (HLT-NAACL, 2015)

Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation. - Mark Dredze; Nicholas Andrews; Jay DeYoung (SocialNLP@EMNLP, 2016)

BBN's 2017 KBP EAL Submission. - Jay DeYoung; Yee Seng Chan; Chinnu Pittapally; Hannah Provenza; Ryan Gabbard; Marjorie Freedman (TAC, 2017)

Adept Automatic Knowledge Discovery System for Cold Start Knowledge Base Population. - Manaj Srivastava; David Trupiano; David Akodes; Ilana Heintz; Hannah Provenza; Bonan Min; Jay DeYoung; Lance A. Ramshaw; Roger Bock (TAC, 2017)

Events Beyond ACE: Curated Training for Events. - Ryan Gabbard; Jay DeYoung; Marjorie Freedman (CoRR, 2018)

Combining rule-based and statistical mechanisms for low-resource named entity recognition. - Ryan Gabbard; Jay DeYoung; Constantine Lignos; Marjorie Freedman; Ralph M. Weischedel (Mach. Transl., 2018)

Inferring Which Medical Treatments Work from Reports of Clinical Trials. - Eric Lehman; Jay DeYoung; Regina Barzilay; Byron C. Wallace (NAACL-HLT (1), 2019)

Neural-Network Lexical Translation for Cross-lingual IR from Text and Speech. - Rabih Zbib; Lingjun Zhao; Damianos G. Karakos; William Hartmann; Jay DeYoung; Zhongqiang Huang; Zhuolin Jiang; Noah Rivkin; Le Zhang 002; Richard M. Schwartz; John Makhoul (SIGIR, 2019)

ERASER: A Benchmark to Evaluate Rationalized NLP Models. - Jay DeYoung; Sarthak Jain; Nazneen Fatema Rajani; Eric Lehman; Caiming Xiong; Richard Socher; Byron C. Wallace (ACL, 2020)

Evidence Inference 2.0: More Data, Better Models. - Jay DeYoung; Eric Lehman; Benjamin E. Nye; Iain James Marshall; Byron C. Wallace (BioNLP, 2020)

Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations. - Benjamin E. Nye; Jay DeYoung; Eric Lehman; Ani Nenkova; Iain James Marshall; Byron C. Wallace (CoRR, 2020)

MS ^2: Multi-Document Summarization of Medical Studies. - Jay DeYoung; Iz Beltagy; Madeleine van Zuylen; Bailey Kuehl; Lucy Lu Wang (EMNLP (1), 2021)

MS2: Multi-Document Summarization of Medical Studies. - Jay DeYoung; Iz Beltagy; Madeleine van Zuylen; Bailey Kuehl; Lucy Lu Wang (CoRR, 2021)

Entity Anchored ICD Coding. - Jay DeYoung; Han-Chin Shing; Luyang Kong; Christopher Winestock; Chaitanya Shivade (AMIA, 2022)

Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews. - Lucy Lu Wang; Jay DeYoung; Byron C. Wallace (SDP@COLING, 2022)

Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations. - Lucy Lu Wang; Yulia Otmakhova 001; Jay DeYoung; Thinh Hung Truong; Bailey Kuehl; Erin Bransom; Byron C. Wallace (ACL (1), 2023)

Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs. - Somin Wadhwa; Jay DeYoung; Benjamin E. Nye; Silvio Amir; Byron C. Wallace (MLHC, 2023)

Do Multi-Document Summarization Models Synthesize? - Jay DeYoung; Stephanie C. Martinez; Iain James Marshall; Byron C. Wallace (CoRR, 2023)

Do Multi-Document Summarization Models Synthesize? - Jay DeYoung; Stephanie C. Martinez; Iain James Marshall; Byron C. Wallace (Trans. Assoc. Comput. Linguistics, 2024)