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International Conference on Computer Processing of Oriental Languages

National CCF Conference on Natural Language Processing and Chinese Computing

ICCPOL 2016, NLPCC 2016: Natural Language Understanding and Intelligent Applications pp 885–892Cite as

A Deep Learning Approach for Question Answering Over Knowledge Base

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10102))

Abstract

With the increase of the scale of the knowledge base, it’s important to answer question over knowledge base. In this paper, we will introduce a method to extract answers from Chinese knowledge base for Chinese questions. Our method uses a classifier to judge whether the relation in the triple is what the question asked, question-relation pairs are used to train the classifier. It’s difficult to identify the right relation, so we find out the focus of the question and leverage the resource of lexical paraphrase in the preprocessing of the question. And the use of lexical paraphrase also can alleviate the out of vocabulary (OOV) problem. In order to let the right answer at the top of candidate answers, we present a ranking method to rank these candidate answers. The result of the final evaluation shows that our method achieves a good result.

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Acknowledgments

This work was supported by the National High Technology Development 863 Program of China (No. 2015AA015407), National Natural Science Foundation of China (No. 61472105 and No. 61472107).

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Authors and Affiliations

  1. Harbin Institute of Technology, Harbin, China

    Linjie Wang, Yu Zhang & Ting Liu

Authors
  1. Linjie Wang
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  2. Yu Zhang
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  3. Ting Liu
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Corresponding authors

Correspondence to Linjie Wang , Yu Zhang or Ting Liu .

Editor information

Editors and Affiliations

  1. Microsoft Research Asia, Beijing, China

    Chin-Yew Lin

  2. Brandeis University, Waltham, Massachusetts, USA

    Nianwen Xue

  3. Peking University, Beijing, China

    Dongyan Zhao

  4. Fudan University, Shanghai, China

    Xuanjing Huang

  5. Peking University, Beijing, China

    Yansong Feng

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Wang, L., Zhang, Y., Liu, T. (2016). A Deep Learning Approach for Question Answering Over Knowledge Base. In: Lin, CY., Xue, N., Zhao, D., Huang, X., Feng, Y. (eds) Natural Language Understanding and Intelligent Applications. ICCPOL NLPCC 2016 2016. Lecture Notes in Computer Science(), vol 10102. Springer, Cham. https://doi.org/10.1007/978-3-319-50496-4_82

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  • DOI: https://doi.org/10.1007/978-3-319-50496-4_82

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50495-7

  • Online ISBN: 978-3-319-50496-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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