| 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 | 574 | 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 | 123 | 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 | 103 | 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 | 55 | 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 | 46 | 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 | 22 | 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 | 18 | 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 | 16 | 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 | 14 | 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 | 12* | 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 | 11 | 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 | 9 | 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 | 9 | 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 | 8 | 2022 |
| Do multi-document summarization models synthesize? J DeYoung, SC Martinez, IJ Marshall, BC Wallace arXiv preprint arXiv:2301.13844, 2023 | 4 | 2023 |
| Entity anchored ICD coding J DeYoung, HC Shing, L Kong, C Winestock, C Shivade arXiv preprint arXiv:2208.07444, 2022 | 3 | 2022 |
| Events beyond ace: Curated training for events R Gabbard, J DeYoung, M Freedman arXiv preprint arXiv:1809.05576, 2018 | 1 | 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 | 1 | 2017 |
Byron WallaceAssociate Professor, Northeastern University在 ccs.neu.edu 的电子邮件经过验证
