Knowledge base question answering with topic units

• Main Authors: LAN, Yunshi, WANG, Shuohang, JIANG, Jing
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Natural Language Processing; Question Answering; Knowledge-based Learning; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/4440; https://ink.library.smu.edu.sg/context/sis_research/article/5443/viewcontent/8._Knowledge_Base_Question_Answering_with_Topic_Units__IJCAI2019_.pdf
• Institution: Singapore Management University

Knowledge base question answering (KBQA) is an important task in natural language processing. Existing methods for KBQA usually start with entity linking, which considers mostly named entities found in a question as the starting points in the KB to search for answers to the question. However, relyin...