A Co-Matching Model for Multi-choice Reading Comprehension

ACL 2018

A Co-Matching Model for Multi-choice Reading Comprehension

Jan 29, 2021
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Abstract: Multi-choice reading comprehension is a challenging task, which involves the matching between a passage and a question-answer pair. This paper proposes a new co-matching approach to this problem, which jointly models whether a passage can match both a question and a candidate answer. Experimental results on the RACE dataset demonstrate that our approach achieves state-of-the-art performance. Authors: Shuohang Wang, Mo Yu, Shiyu Chang, Jing Jiang (Singapore Management University, IBM Research)

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