A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions
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.
Cite
Text
Lan et al. "A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions." International Joint Conference on Artificial Intelligence, 2021. doi:10.24963/IJCAI.2021/611Markdown
[Lan et al. "A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions." International Joint Conference on Artificial Intelligence, 2021.](https://mlanthology.org/ijcai/2021/lan2021ijcai-survey/) doi:10.24963/IJCAI.2021/611BibTeX
@inproceedings{lan2021ijcai-survey,
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 = {International Joint Conference on Artificial Intelligence},
year = {2021},
pages = {4483-4491},
doi = {10.24963/IJCAI.2021/611},
url = {https://mlanthology.org/ijcai/2021/lan2021ijcai-survey/}
}