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DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain

Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
2019 Proceedings of the 18th BioNLP Workshop and Shared Task  
We use a multi-source transfer learning approach to transfer the knowledge from MT- DNN (Liu et al., 2019b) and SciBERT (Beltagy et al., 2019) to natural language understanding tasks in the medical domain  ...  The proposed methods are proved effective for natural language understanding in the medical domain, and we rank the first place on the QA task.  ...  Conclusion We present new methods for multi-source transfer learning for the medical domain.  ... 
doi:10.18653/v1/w19-5042 dblp:conf/bionlp/XuLLPG19 fatcat:6lbrsuvugzbr5by7qhdszsrmea

Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering

Asma Ben Abacha, Chaitanya Shivade, Dina Demner-Fushman
2019 Proceedings of the 18th BioNLP Workshop and Shared Task  
MEDIQA 2019 includes three tasks: Natural Language Inference (NLI), Recognizing Question Entailment (RQE), and Question Answering (QA) in the medical domain. 72 teams participated in the challenge, achieving  ...  This paper presents the MEDIQA 2019 shared task organized at the ACL-BioNLP workshop.  ...  Acknowledgments This work was supported by the intramural research program at the U.S. National Library of Medicine, National Institutes of Health.  ... 
doi:10.18653/v1/w19-5039 dblp:conf/bionlp/AbachaSD19 fatcat:fa2z477k7jfitkd6yfgksyrofa