TY - GEN
T1 - A Survey on Complex Knowledge Base Question Answering
T2 - 30th International Joint Conference on Artificial Intelligence, IJCAI 2021
AU - Lan, Yunshi
AU - He, Gaole
AU - Jiang, Jinhao
AU - Jiang, Jing
AU - Zhao, Wayne Xin
AU - Wen, Ji Rong
N1 - Publisher Copyright:
© 2021 International Joint Conferences on Artificial Intelligence. All rights reserved.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85113837401
U2 - 10.24963/ijcai.2021/611
DO - 10.24963/ijcai.2021/611
M3 - 会议稿件
AN - SCOPUS:85113837401
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 4483
EP - 4491
BT - Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021
A2 - Zhou, Zhi-Hua
PB - International Joint Conferences on Artificial Intelligence
Y2 - 19 August 2021 through 27 August 2021
ER -