Question answering with textual sequence matching

• Main Author: WANG, Shuohang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Natural language inference; Reading comprehension; Question answering; Textual sequence matching; Natural language processing; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/etd_coll/197; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1197&context=etd_coll
• Institution: Singapore Management University

Question answering (QA) is one of the most important applications in natural language processing. With the explosive text data from the Internet, intelligently getting answers of questions will help humans more efficiently collect useful information. My research in this thesis mainly focuses on solv...