Jay DeYoung
Jay DeYoung
Northeastern University
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
ERASER: A benchmark to evaluate rationalized NLP models
J DeYoung, S Jain, NF Rajani, E Lehman, C Xiong, R Socher, ...
arXiv preprint arXiv:1911.03429, 2019
Inferring which medical treatments work from reports of clinical trials
E Lehman, J DeYoung, R Barzilay, BC Wallace
arXiv preprint arXiv:1904.01606, 2019
Ms2: Multi-document summarization of medical studies
J DeYoung, I Beltagy, M van Zuylen, B Kuehl, LL Wang
arXiv preprint arXiv:2104.06486, 2021
Evidence inference 2.0: More data, better models
J DeYoung, E Lehman, B Nye, IJ Marshall, BC Wallace
arXiv preprint arXiv:2005.04177, 2020
Neural-network lexical translation for cross-lingual IR from text and speech
R Zbib, L Zhao, D Karakos, W Hartmann, J DeYoung, Z Huang, Z Jiang, ...
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
Parma: A predicate argument aligner
T Wolfe, B Van Durme, M Dredze, N Andrews, C Beller, C Callison-Burch, ...
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
Understanding clinical trial reports: Extracting medical entities and their relations
BE Nye, J DeYoung, E Lehman, A Nenkova, IJ Marshall, BC Wallace
AMIA Summits on Translational Science Proceedings 2021, 485, 2021
Twitter at the grammys: A social media corpus for entity linking and disambiguation
M Dredze, N Andrews, J DeYoung
Proceedings of the fourth international workshop on natural language …, 2016
Combining rule-based and statistical mechanisms for low-resource named entity recognition
R Gabbard, J DeYoung, C Lignos, M Freedman, R Weischedel
Machine translation 32, 31-43, 2018
A concrete Chinese NLP pipeline
N Peng, F Ferraro, M Yu, N Andrews, J DeYoung, M Thomas, ...
Proceedings of the 2015 Conference of the North American Chapter of the …, 2015
Automated metrics for medical multi-document summarization disagree with human evaluations
LL Wang, Y Otmakhova, J DeYoung, TH Truong, BE Kuehl, E Bransom, ...
arXiv preprint arXiv:2305.13693, 2023
Jointly extracting interventions, outcomes, and findings from RCT reports with LLMs
S Wadhwa, J DeYoung, B Nye, S Amir, BC Wallace
Machine Learning for Healthcare Conference, 754-771, 2023
Faster (and better) entity linking with cascades
A Benton, J Deyoung, A Teichert, M Dredze, B Van Durme, S Mayhew, ...
NIPS workshop on automated knowledge base construction, 2014
Overview of MSLR2022: A shared task on multi-document summarization for literature reviews
LL Wang, J DeYoung, B Wallace
Proceedings of the Third Workshop on Scholarly Document Processing, 2022
Do multi-document summarization models synthesize?
J DeYoung, SC Martinez, IJ Marshall, BC Wallace
arXiv preprint arXiv:2301.13844, 2023
Entity anchored ICD coding
J DeYoung, HC Shing, L Kong, C Winestock, C Shivade
arXiv preprint arXiv:2208.07444, 2022
Events beyond ace: Curated training for events
R Gabbard, J DeYoung, M Freedman
arXiv preprint arXiv:1809.05576, 2018
Adept Automatic Knowledge Discovery System for Cold Start Knowledge Base Population.
M Srivastava, D Trupiano, D Akodes, I Heintz, H Provenza, B Min, ...
TAC, 2017
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