Complex knowledge base question answering: A survey

• Main Authors: LAN, Yunshi, HE, Gaole, JIANG, Jinhao, JIANG, Jing, XIN, Zhao Wayne, WEN, Ji Rong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Cognition; Compounds; Knowledge base; knowledge base question answering; Knowledge based systems; natural language processing; question answering; Question answering (information retrieval); Semantics; survey; Task analysis; TV; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/7762; https://ink.library.smu.edu.sg/context/sis_research/article/8765/viewcontent/ComplexKnowledgeBase_2022_av.pdf
• Institution: Singapore Management University

Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Early studies mainly focused on answering simple questions over KBs and achieved great success. However, their performances on complex questions are still far from satisfactory. Therefore, in recent years,...