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Study on the Method of Precise Entity Search Based on Baidu’s Query

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Natural Language Understanding and Intelligent Applications (ICCPOL 2016, NLPCC 2016)

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

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Abstract

For a given query, searching for entities that conform to the description facts in the given set, in view of this goal, this paper proposes a matching method based on classification and semantic extension. The algorithm firstly to classify the query string into three categories, and extract the key word of different categories of query word. Then the keyword is extended to get the matching word set based on the word2vec word vector model. At last we calculate the score of every entity by the weighted matching method and get results according to the score ranking. After the experiment, the method get the correct rate of 63.2%, which has good applicability, and to a certain extent, it reduces the retrieval failure rate due to the query of the spoken language and diversification.

This work is supported by the National Natural Science Foundation of China under Grants No. 61271304, 61671070, Bei**g Advanced Innovation Center for Imaging Technology BAICIT-2016003, National Social Science Foundation of China under Grants No. 14@ZH036, 15ZDB017, National Language Committee of China under Grants No. ZDA125-26.

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Authors and Affiliations

  1. Bei**g Key Laboratory of Internet Culture and Digital Dissemination Research, Bei**g Information Science and Technology University, Bei**g, China

    Teng Wang, Xueqiang Lv, Xun Ma, Pengyan Sun & Zhian Dong

  2. Bei**g Advanced Innovation Center for Imaging Technology, Capital Normal University, Bei**g, China

    Jianshe Zhou

Authors
  1. Teng Wang
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  2. Xueqiang Lv
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  3. Xun Ma
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  4. Pengyan Sun
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  5. Zhian Dong
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  6. Jianshe Zhou
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Corresponding author

Correspondence to Teng Wang .

Editor information

Editors and Affiliations

  1. Microsoft Research Asia, Bei**g, China

    Chin-Yew Lin

  2. Brandeis University, Waltham, Massachusetts, USA

    Nianwen Xue

  3. Peking University, Bei**g, China

    Dongyan Zhao

  4. Fudan University, Shanghai, China

    Xuan**g Huang

  5. Peking University, Bei**g, China

    Yansong Feng

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Wang, T., Lv, X., Ma, X., Sun, P., Dong, Z., Zhou, J. (2016). Study on the Method of Precise Entity Search Based on Baidu’s Query. 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_74

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  • DOI: https://doi.org/10.1007/978-3-319-50496-4_74

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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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