A co-matching model for multi-choice reading comprehension

• Main Authors: WANG, Shuohang, YU, Mo, CHANG, Shiyu, JIANG, Jing
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Education; Reading and Language
• Online Access: https://ink.library.smu.edu.sg/sis_research/4239; https://ink.library.smu.edu.sg/context/sis_research/article/5242/viewcontent/180604068.pdf
• Institution: Singapore Management University

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.