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Research on the Recognition of Chinese Autonomous Verbs Based on Semantic Selection Restriction and Natural Annotation Information

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Chinese Lexical Semantics (CLSW 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10709))

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Abstract

Verb has always been an important yet challenging topic in linguistic research. The secondary classification of verbs is of great value for language ontology and language applied research. This paper investigated the computer recognition of autonomous verbs and constructed rules for recognizing such verbs, which is based on the contextual characteristics of automatic verbs and some natural annotation information (mainly punctuations and position information). A rule-based automatic recognition algorithm was thus devised. The F1 value of the algorithm is 86.3% on the manually labeled test data.

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Author information

Authors and Affiliations

  1. Institute of large data and language education, Beijing Language and Culture University, Beijing, 100083, China

    Chengwen Wang & Endong Xun

Authors
  1. Chengwen Wang
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  2. Endong Xun
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Corresponding author

Correspondence to Endong Xun .

Editor information

Editors and Affiliations

  1. Peking University , Beijing, China

    Yunfang Wu

  2. National Taiwan Normal University , Taipei, Taiwan

    Jia-Fei Hong

  3. Peking University , Beijing, China

    Qi Su

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Wang, C., Xun, E. (2018). Research on the Recognition of Chinese Autonomous Verbs Based on Semantic Selection Restriction and Natural Annotation Information. In: Wu, Y., Hong, JF., Su, Q. (eds) Chinese Lexical Semantics. CLSW 2017. Lecture Notes in Computer Science(), vol 10709. Springer, Cham. https://doi.org/10.1007/978-3-319-73573-3_21

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  • DOI: https://doi.org/10.1007/978-3-319-73573-3_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73572-6

  • Online ISBN: 978-3-319-73573-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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