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Building Chinese Semantic Treebank for Patent Text on the Basis of 3 Dimensional Dynamic Concept Model

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Chinese Lexical Semantics (CLSW 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8922))

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Abstract

In this paper we proposed a method for building Chinese semantic treebank for patent text. On the basis of 3 Dimensional Dynamic Concept Model, we designed the semantic relations tagging sets with chunk as tagging object for patent translation. We proposed a top-down process for manually tagging and a standard for processing treebank, which is used for the level partition of a sentence and also can reflect core words. Building semantic treebank for patent text is very important for fully exploiting useful information of the patent text.

This paper was supported by the National Key Science & Technology Pillar Program No.2012BAH14F05.

This paper was supported by the National Basis Research Program under Project Number 2010CB530401-1.

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Author information

Authors and Affiliations

  1. Knowledge Engineering Research Center, Shenyang Aerospace University, Shenyang, 110136, China

    Yateng Wang, Dongfeng Cai, Qiaoli Zhou & Mingru Wei

  2. Hebei Foreign Studies University, Shijiazhuang, China

    Haoguo Feng

Authors
  1. Yateng Wang
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  2. Dongfeng Cai
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  3. Haoguo Feng
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  4. Qiaoli Zhou
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  5. Mingru Wei
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Corresponding author

Correspondence to Yateng Wang .

Editor information

Editors and Affiliations

  1. Xiamen University, Xiamen, Fujian, China

    Xinchun Su

  2. Central China Normal University, Wuhan, Hubei, China

    Tingting He

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Wang, Y., Cai, D., Feng, H., Zhou, Q., Wei, M. (2014). Building Chinese Semantic Treebank for Patent Text on the Basis of 3 Dimensional Dynamic Concept Model. In: Su, X., He, T. (eds) Chinese Lexical Semantics. CLSW 2014. Lecture Notes in Computer Science(), vol 8922. Springer, Cham. https://doi.org/10.1007/978-3-319-14331-6_37

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  • DOI: https://doi.org/10.1007/978-3-319-14331-6_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14330-9

  • Online ISBN: 978-3-319-14331-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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