cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Transfer Learning-Reference-Cited by-同舟云学术

cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Transfer Learning

Author:

Mahbub Maria¹^ORCID,Begoli Edmon²,Martins Susana³,Peluso Alina⁴,Tamang Suzanne³^ORCID,Peterson Gregory¹^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA

2. Oak Ridge National Laboratory, Cyber Resilience and Intelligence Division, Oak Ridge, TN, USA

3. Department of Veterans Affairs, Program Evaluation and Resource Center, Office of Mental Health and Suicide Prevention, Menlo Park, CA, USA

4. Oak Ridge National Laboratory, Computational Sciences and Engineering Division, Oak Ridge, TN, USA

Funder

Department of Veterans Affairs, Office of Mental Health and Suicide Prevention

Knowledge Discovery Infrastructure at the Oak Ridge National Laboratory

Office of Science of the U.S. Department of Energy

Department of Veterans Affairs Office of Information Technology Inter-Agency Agreement with the Department of Energy under IAA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference53 articles.

1. Multi-task learning with sample re-weighting for machine reading comprehension;xu;arXiv 1809 06963,2018

2. Unsupervised domain adaptation of language models for reading comprehension;nishida;arXiv 1911 10768,2019

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