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A Keyword Extraction Method Based on Lexical Chains

  • Conference paper
Advances in Computation and Intelligence (ISICA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5370))

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Abstract

A lexical-chain-based keywords extraction method from Chinese texts is proposed in this paper, and an algorithm for constructing lexical chains based on HowNet knowledge database is given in the method, lexical chains are firstly constructing by calculating he semantic similarity between terms, then keywords are extracted according to the lexical chain’s intensity, the terms’ entropy and position. Unknown word recognition and semantic information between terms are considered in this method, which can significantly improve the effectiveness of keywords extraction. The preliminary experimental results show that the method gets better performance than other methods both in accurate-matching test and approximate-matching test.

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Author information

Authors and Affiliations

  1. School of Computer Science, Beijing Institute of Technology, Beijing, 100081, China

    Xiao-yu Jiang

  2. Business School, Beijing Institute of Clothing Technology, Beijing, 100029, China

    Xiao-yu Jiang

Authors
  1. Xiao-yu Jiang
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Editor information

Editors and Affiliations

  1. Computation Center, Wuhan University, 430072, Wuhan, China

    Lishan Kang

  2. Faculty of Computer Science, China University of Geosciences, 430074, Wuhan, Hubei, P.R. China

    Zhihua Cai

  3. School of Computer Science, China University of Geosciences, Wu-Han, 430074, China Research Center for Space Science and Technology, China University of Geosciences, 430074, Wu-Han, China

    Xuesong Yan

  4. The University of Aizu, Tsuruga, Ikki-machi, 965-8580, Aizu-Wakamatsu City Fukushima, Japan

    Yong Liu

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© 2008 Springer-Verlag Berlin Heidelberg

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Jiang, Xy. (2008). A Keyword Extraction Method Based on Lexical Chains. In: Kang, L., Cai, Z., Yan, X., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2008. Lecture Notes in Computer Science, vol 5370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92137-0_40

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  • DOI: https://doi.org/10.1007/978-3-540-92137-0_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92136-3

  • Online ISBN: 978-3-540-92137-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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