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Holographic Lexical Chain and Its Application in Chinese Text Summarization

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Web and Big Data (APWeb-WAIM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10366))

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Abstract

Lexical chain has been widely used in many NLP areas. However, when using it for Web text summarization, especially for domain-specific text summarization, we got low accuracy results. The main reason is that traditional lexical chains only take nouns into consideration while information of other grammatical parts is missing. We introduce lexical chains of predicates and adjectives (adverbs) respectively. These three types of lexical chains together are called holographic lexical chains (HLCs), which capture most of the information included in the text. A specifically designed construction method for HLC is presented. We applied HLC method to Chinese text summarization and used machine learning methods whose features are adapted to the new method. In a comparative study of Chinese foreign trade texts, we got summarization results with accuracy of 86.88%. Our HLC construction method obtained improvements of 7.02% in accuracy than the known best methods in Chinese text summarization.

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Acknowledgement

This work was supported by National Key Research and Development Program of China under grant 2016YFB1000902, National Natural Science Foundation of China (No. 61232015, 61472412, 61621003), Beijing Science and Technology Project: Machine Learning based Stomatology and Tsinghua-Tencent-AMSS Joint Project: WWW Knowledge Structure and its Application.

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Authors and Affiliations

  1. Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Shengluan Hou, Yu Huang, Chaoqun Fei, Shuhan Zhang & Ruqian Lu

  2. University of Chinese Academy of Sciences, Beijing, China

    Shengluan Hou, Yu Huang, Chaoqun Fei & Shuhan Zhang

  3. Key Lab of MADIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China

    Ruqian Lu

Authors
  1. Shengluan Hou
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  2. Yu Huang
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  3. Chaoqun Fei
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  4. Shuhan Zhang
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  5. Ruqian Lu
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Corresponding author

Correspondence to Shengluan Hou .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China

    Lei Chen

  2. Computer Science, Aarhus University, Aarhus N, Denmark

    Christian S. Jensen

  3. Computer Science, University of Southern California, Los Angeles, California, USA

    Cyrus Shahabi

  4. Northeastern University, Shenyang, China

    Xiaochun Yang

  5. Kent State University, Kent, Ohio, USA

    Xiang Lian

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Hou, S., Huang, Y., Fei, C., Zhang, S., Lu, R. (2017). Holographic Lexical Chain and Its Application in Chinese Text Summarization. In: Chen, L., Jensen, C., Shahabi, C., Yang, X., Lian, X. (eds) Web and Big Data. APWeb-WAIM 2017. Lecture Notes in Computer Science(), vol 10366. Springer, Cham. https://doi.org/10.1007/978-3-319-63579-8_21

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  • DOI: https://doi.org/10.1007/978-3-319-63579-8_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63578-1

  • Online ISBN: 978-3-319-63579-8

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