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2020 – today
- 2024
[j2]Jay DeYoung, Stephanie C. Martinez, Iain James Marshall, Byron C. Wallace:
Do Multi-Document Summarization Models Synthesize? Trans. Assoc. Comput. Linguistics 12: 1043-1062 (2024)- 2023
- [c12]Lucy Lu Wang, Yulia Otmakhova, Jay DeYoung, Thinh Hung Truong, Bailey Kuehl, Erin Bransom, Byron C. Wallace:
Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations. ACL (1) 2023: 9871-9889 - [c11]Somin Wadhwa, Jay DeYoung, Benjamin E. Nye, Silvio Amir, Byron C. Wallace:
Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs. MLHC 2023: 754-771 - [i12]Jay DeYoung, Stephanie C. Martinez, Iain James Marshall, Byron C. Wallace:
Do Multi-Document Summarization Models Synthesize? CoRR abs/2301.13844 (2023) - [i11]Somin Wadhwa, Jay DeYoung, Benjamin E. Nye, Silvio Amir, Byron C. Wallace:
Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs. CoRR abs/2305.03642 (2023) - [i10]Lucy Lu Wang, Yulia Otmakhova, Jay DeYoung, Thinh Hung Truong, Bailey E. Kuehl, Erin Bransom, Byron C. Wallace:
Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations. CoRR abs/2305.13693 (2023) - 2022
- [c10]Jay DeYoung, Han-Chin Shing, Luyang Kong, Christopher Winestock, Chaitanya Shivade:
Entity Anchored ICD Coding. AMIA 2022 - [c9]Lucy Lu Wang
, Jay DeYoung, Byron C. Wallace:
Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews. SDP@COLING 2022: 175-180 - [i9]Jay DeYoung, Han-Chin Shing, Luyang Kong, Christopher Winestock, Chaitanya Shivade:
Entity Anchored ICD Coding. CoRR abs/2208.07444 (2022) - 2021
- [c8]Jay DeYoung, Iz Beltagy, Madeleine van Zuylen, Bailey Kuehl, Lucy Lu Wang:
MS\^2: Multi-Document Summarization of Medical Studies. EMNLP (1) 2021: 7494-7513 - [i8]Jay DeYoung, Iz Beltagy, Madeleine van Zuylen, Bailey Kuehl, Lucy Lu Wang:
MS2: Multi-Document Summarization of Medical Studies. CoRR abs/2104.06486 (2021) - 2020
- [c7]Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace:
ERASER: A Benchmark to Evaluate Rationalized NLP Models. ACL 2020: 4443-4458 - [c6]Jay DeYoung, Eric Lehman, Benjamin E. Nye, Iain James Marshall, Byron C. Wallace:
Evidence Inference 2.0: More Data, Better Models. BioNLP 2020: 123-132 - [i7]Jay DeYoung, Eric Lehman, Benjamin E. Nye, Iain James Marshall, Byron C. Wallace:
Evidence Inference 2.0: More Data, Better Models. CoRR abs/2005.04177 (2020) - [i6]Benjamin E. Nye, Jay DeYoung, Eric Lehman, Ani Nenkova, Iain James Marshall, Byron C. Wallace:
Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations. CoRR abs/2010.03550 (2020)
2010 – 2019
- 2019
- [c5]Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace:
Inferring Which Medical Treatments Work from Reports of Clinical Trials. NAACL-HLT (1) 2019: 3705-3717 - [c4]Rabih Zbib, Lingjun Zhao, Damianos G. Karakos, William Hartmann, Jay DeYoung, Zhongqiang Huang, Zhuolin Jiang, Noah Rivkin, Le Zhang, Richard M. Schwartz, John Makhoul:
Neural-Network Lexical Translation for Cross-lingual IR from Text and Speech. SIGIR 2019: 645-654 - [i5]Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace:
Inferring Which Medical Treatments Work from Reports of Clinical Trials. CoRR abs/1904.01606 (2019) - [i4]Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace:
ERASER: A Benchmark to Evaluate Rationalized NLP Models. CoRR abs/1911.03429 (2019) - 2018
- [j1]Ryan Gabbard, Jay DeYoung, Constantine Lignos, Marjorie Freedman, Ralph M. Weischedel:
Combining rule-based and statistical mechanisms for low-resource named entity recognition. Mach. Transl. 32(1-2): 31-43 (2018) - [i3]Ryan Gabbard, Jay DeYoung, Marjorie Freedman:
Events Beyond ACE: Curated Training for Events. CoRR abs/1809.05576 (2018) - 2017
- [i2]Jay DeYoung, Yee Seng Chan, Chinnu Pittapally, Hannah Provenza, Ryan Gabbard, Marjorie Freedman:
BBN's 2017 KBP EAL Submission. TAC 2017 - [i1]Manaj Srivastava, David Trupiano, David Akodes, Ilana Heintz, Hannah Provenza, Bonan Min, Jay DeYoung, Lance A. Ramshaw, Roger Bock:
Adept Automatic Knowledge Discovery System for Cold Start Knowledge Base Population. TAC 2017 - 2016
- [c3]Mark Dredze, Nicholas Andrews, Jay DeYoung:
Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation. SocialNLP@EMNLP 2016: 20-25 - 2015
- [c2]Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, Mark Dredze:
A Concrete Chinese NLP Pipeline. HLT-NAACL 2015: 86-90 - 2013
- [c1]Travis Wolfe, Benjamin Van Durme, Mark Dredze, Nicholas Andrews, Charley Beller, Chris Callison-Burch, Jay DeYoung, Justin Snyder, Jonathan Weese, Tan Xu, Xuchen Yao:
PARMA: A Predicate Argument Aligner. ACL (2) 2013: 63-68
Coauthor Index
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