Improving multi-hop knowledge base question answering by learning intermediate supervision signals

• Main Authors: HE, Gaole, LAN, Yunshi, JIANG, Jing, ZHAO, Wayne Xin, WEN, Ji Rong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: intermediate supervision signals; knowledge base question answering; teacher-student network; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/5892; https://ink.library.smu.edu.sg/context/sis_research/article/6895/viewcontent/2_Improving_Multi_hop_Knowledge_Base_WSDM2021_av.pdf
• Institution: Singapore Management University

Multi-hop Knowledge Base Question Answering (KBQA) aims to find the answer entities that are multiple hops away in the Knowledge Base (KB) from the entities in the question. A major challenge is the lack of supervision signals at intermediate steps. Therefore, multi-hop KBQA algorithms can only rece...