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Study on Chinese Discourse Semantic Annotation Based on Semantic Dependency Graph

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Chinese Lexical Semantics (CLSW 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11173))

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Abstract

Semantic annotation of discourse is always one of most important tasks in natural language processing (NLP). We proposed a complex semantic representation mechanism for Chinese complex sentences. The semantic relations between sentences and between words can be represented as a semantic dependency graph by recursive directed graph. We studied the basic definition, the types of relations, and dependency direction of semantic dependence, and discussed the formal representation mechanism of semantic dependency from phrase-level, sentence-level and discourse-level. The semantic dependency graph model is characterized by allowing multiple correlations, allowing recursion and nesting, and formal representations are shown in recursive directed graph. The semantic dependency graph can more comprehensively represent the semantic relations between words and between the clauses in the discourse.

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Acknowledgment

The work is funded by the following projects: National Natural Science Foundation of China No. 61772378, 61702121, Humanities & Social Science Foundation of Ministry of Education of China No. 16YJCZH004, and Science & Technology Project of Guangzhou No. 201704030002.

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Authors and Affiliations

  1. Collaborative Innovation Center for Language Research & Services, Guangdong University of Foreign Studies, Guangzhou, 510420, China

    Bo Chen & Chen Lyu

  2. College of Computer Science, University of Maryland, College Park, 20742, USA

    Ziqing Ji

Authors
  1. Bo Chen
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  2. Chen Lyu
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  3. Ziqing Ji
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Corresponding author

Correspondence to Chen Lyu .

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Editors and Affiliations

  1. National Taiwan Normal University, Taipei, Taiwan

    Jia-Fei Hong

  2. Peking University, Beijing, China

    Qi Su

  3. National Chung Cheng University, Chiayi, Taiwan

    Jiun-Shiung Wu

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Chen, B., Lyu, C., Ji, Z. (2018). Study on Chinese Discourse Semantic Annotation Based on Semantic Dependency Graph. In: Hong, JF., Su, Q., Wu, JS. (eds) Chinese Lexical Semantics. CLSW 2018. Lecture Notes in Computer Science(), vol 11173. Springer, Cham. https://doi.org/10.1007/978-3-030-04015-4_64

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  • DOI: https://doi.org/10.1007/978-3-030-04015-4_64

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04014-7

  • Online ISBN: 978-3-030-04015-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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