Context modeling with evidence filter for multiple choice question answering

• Main Authors: YU, Sicheng, ZHANG, Hao, JING, Wei, JIANG, Jing
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Evidence Extraction; Machine Reading Comprehension; Natural Language Processing; Question Answering; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7615; https://ink.library.smu.edu.sg/context/sis_research/article/8618/viewcontent/2010.02649.pdf
• Institution: Singapore Management University

Multiple-Choice Question Answering (MCQA) is one of the challenging tasks in machine reading comprehension. The main challenge in MCQA is to extract "evidence" from the given context that supports the correct answer. In OpenbookQA dataset [1], the requirement of extracting "evidence&q...