A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions

Lan, Yunshi; He, Gaole; Jiang, Jinhao; Jiang, Jing; Zhao, Wayne Xin; Wen, Ji-Rong

doi:10.24963/ijcai.2021/611

A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions

Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Survey Track. Pages 4483-4491.

https://doi.org/10.24963/ijcai.2021/611

Keywords

Knowledge representation and reasoning: General
Natural language processing: General

Abstract

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.

Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, and Ji-Rong Wen. 2021. A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 4483–4491. https://doi.org/10.24963/ijcai.2021/611

@inproceedings{ijcai2021p611,
  title     = {A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions},
  author    = {Lan, Yunshi and He, Gaole and Jiang, Jinhao and Jiang, Jing and Zhao, Wayne Xin and Wen, Ji-Rong},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {4483--4491},
  year      = {2021},
  month     = {8},
  note      = {Survey Track},
  doi       = {10.24963/ijcai.2021/611},
  url       = {https://doi.org/10.24963/ijcai.2021/611},
}

TY  - CPAPER
TI  - A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions
AU  - Lan, Yunshi
AU  - He, Gaole
AU  - Jiang, Jinhao
AU  - Jiang, Jing
AU  - Zhao, Wayne Xin
AU  - Wen, Ji-Rong
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 4483
EP  - 4491
DO  - 10.24963/ijcai.2021/611
UR  - https://doi.org/10.24963/ijcai.2021/611
ER  -