Semantic matching in machine reading comprehension: an empirical study

• Main Authors: Liu, Qian, Mao, Rui, Geng, Xiubo, Cambria, Erik
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Natural Language Processing; Machine Reading Comprehension
• Online Access: https://hdl.handle.net/10356/164704
• Institution: Nanyang Technological University

Machine reading comprehension (MRC) is a challenging task in the field of artificial intelligence. Most existing MRC works contain a semantic matching module, either explicitly or intrinsically, to determine whether a piece of context answers a question. However, there is scant work which systematic...