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2021 | OriginalPaper | Buchkapitel

EDG-Based Question Decomposition for Complex Question Answering over Knowledge Bases

verfasst von : Xixin Hu, Yiheng Shu, Xiang Huang, Yuzhong Qu

Erschienen in: The Semantic Web – ISWC 2021

Verlag: Springer International Publishing

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Abstract

Knowledge base question answering (KBQA) aims at automatically answering factoid questions over knowledge bases (KBs). For complex questions that require multiple KB relations or constraints, KBQA faces many challenges including question understanding, component linking (e.g., entity, relation, and type linking), and query composition. In this paper, we propose a novel graph structure called Entity Description Graph (EDG) to represent the structure of complex questions, which can help alleviate the above issues. By leveraging the EDG structure of given questions, we implement a QA system over DBpedia, called EDGQA. Extensive experiments demonstrate that EDGQA outperforms state-of-the-art results on both LC-QuAD and QALD-9, and that EDG-based decomposition is a feasible way for complex question answering over KBs.

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Source code is available at https://github.com/HXX97/EDGQA.

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http://lc-quad.sda.tech/lcquad1.0.html.

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Titel: EDG-Based Question Decomposition for Complex Question Answering over Knowledge Bases
verfasst von: Xixin Hu
Yiheng Shu
Xiang Huang
Yuzhong Qu
Verlag: Springer International Publishing
Buch: The Semantic Web – ISWC 2021
Print ISBN: 978-3-030-88360-7

Electronic ISBN: 978-3-030-88361-4

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-88361-4_8

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