Jay DeYoung

According to our database, Jay DeYoung authored at least 20 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Do Multi-Document Summarization Models <i>Synthesize</i>?

Jay DeYoung, Stephanie C. Martinez, Iain James Marshall, Byron C. Wallace

Trans. Assoc. Comput. Linguistics, 2024

2023

Do Multi-Document Summarization Models Synthesize?

Jay DeYoung, Stephanie C. Martinez, Iain James Marshall, Byron C. Wallace

CoRR, 2023

Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs.

Somin Wadhwa, Jay DeYoung, Benjamin E. Nye, Silvio Amir, Byron C. Wallace

Proceedings of the Machine Learning for Healthcare Conference, 2023

Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations.

Lucy Lu Wang, Yulia Otmakhova, Jay DeYoung, Thinh Hung Truong, Bailey Kuehl, Erin Bransom, Byron C. Wallace

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews.

Lucy Lu Wang, Jay DeYoung, Byron C. Wallace

Proceedings of the Third Workshop on Scholarly Document Processing, 2022

Entity Anchored ICD Coding.

Jay DeYoung, Han-Chin Shing, Luyang Kong, Christopher Winestock, Chaitanya Shivade

Proceedings of the AMIA 2022, 2022

2021

MS2: Multi-Document Summarization of Medical Studies.

Jay DeYoung, Iz Beltagy, Madeleine van Zuylen, Bailey Kuehl, Lucy Lu Wang

CoRR, 2021

MS\^2: Multi-Document Summarization of Medical Studies.

Jay DeYoung, Iz Beltagy, Madeleine van Zuylen, Bailey Kuehl, Lucy Lu Wang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

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

Evidence Inference 2.0: More Data, Better Models.

Jay DeYoung, Eric Lehman, Benjamin E. Nye, Iain James Marshall, Byron C. Wallace

Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

ERASER: A Benchmark to Evaluate Rationalized NLP Models.

Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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, Richard M. Schwartz, John Makhoul

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Inferring Which Medical Treatments Work from Reports of Clinical Trials.

Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

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

Events Beyond ACE: Curated Training for Events.

Ryan Gabbard, Jay DeYoung, Marjorie Freedman

CoRR, 2018

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

Proceedings of the 2017 Text Analysis Conference, 2017

BBN's 2017 KBP EAL Submission.

Jay DeYoung, Yee Seng Chan, Chinnu Pittapally, Hannah Provenza, Ryan Gabbard, Marjorie Freedman

Proceedings of the 2017 Text Analysis Conference, 2017

2016

Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation.

Mark Dredze, Nicholas Andrews, Jay DeYoung

Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media, 2016

2015

A Concrete Chinese NLP Pipeline.

Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, Mark Dredze

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2013

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

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013