A survey on complex knowledge base question answering: Methods, challenges and solutions

A survey on complex knowledge base question answering: Methods, challenges and solutions

Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Recently, a large number of studies focus on semantically or syntactically complicated questions. In this paper, we elaborately summarize the typical challenges and solutions for complex KBQA. We begin wit...

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Bibliographic Details
Main Authors: LAN, Yunshi, HE, Gaole, JIANG, Jinhao, JIANG, Jing, ZHAO, Wayne Xin, WEN, Ji-Rong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
Knowledge representation and reasoning
General Natural language processing
General
Databases and Information Systems
Online Access:https://ink.library.smu.edu.sg/sis_research/6762
https://ink.library.smu.edu.sg/context/sis_research/article/7765/viewcontent/2105.11644.pdf
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Institution: Singapore Management University
Language: English
Description
Summary:Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Recently, a large number of studies focus on semantically or syntactically complicated questions. In this paper, we elaborately summarize the typical challenges and solutions for complex KBQA. We begin with introducing the background about the KBQA task. Next, we present the two mainstream categories of methods for complex KBQA, namely semantic parsing-based (SP-based) methods and information retrieval-based (IR-based) methods. We then review the advanced methods comprehensively from the perspective of the two categories. Specifically, we explicate their solutions to the typical challenges. Finally, we conclude and discuss some promising directions for future research.

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