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Query Path Generation via Bidirectional Reasoning for Multihop Question Answering From Knowledge Bases

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成果类型:
期刊论文
作者:
Zhang, Geng;Liu, Jin;Zhou, Guangyou;Xie, Zhiwen;Yu, Xiao;...
通讯作者:
Liu, J.;Zhou, G.
作者机构:
[Liu, Jin; Xie, Zhiwen; Zhang, Geng] Wuhan University, School of Computer Science, Wuhan, 430072, China
[Zhou, Guangyou] Central China Normal University, School of Computer Science, Wuhan, 430079, China
[Yu, Xiao] Wuhan University of Technology, School of Computer Science and Technology, Wuhan, 430070, China
[Cui, Xiaohui] Wuhan University, School of Cyber Science and Engineering, Wuhan, 430072, China
通讯机构:
[Liu, J.] W
[Zhou, G.] C
Central China Normal University, China
Wuhan University, China
语种:
英文
关键词:
Knowledge base;multihop reasoning;question answering;text mining
期刊:
IEEE Transactions on Cognitive and Developmental Systems
ISSN:
2379-8920
年:
2023
卷:
15
期:
3
页码:
1183-1195
基金类别:
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61972290 and 61972173) 10.13039/501100012166-National Key Research and Development Program of China (Grant Number: 2018YFC1604000) 10.13039/501100012226-Fundamental Research Funds for the Central Universities (Grant Number: CCNU22QN015)
机构署名:
本校为通讯机构
院系归属:
计算机学院
摘要:
Multihop question answering from knowledge bases (KBQA) is a hot research topic in natural language processing. Recently, the graph neural network-based (GNN-based) methods have achieved promising results as the KB can be organized as a knowledge graph (KG). However, they often suffered from the sparsity of the KG which was detrimental to the structure encoding and reasoning capabilities of GNN. Specifically, a KG is a sparse graph linked by directed relations and previous studies have paid scant attention to the directional characteristic of r...

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