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Using cognitive model to automatically analyze Chinese predicate

  • Shiqi Li*
  • , Tiejun Zhao
  • , Hanjing Li
  • , Shui Liu
  • , Pengyuan Liu
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology
  • Peking University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents an cognitive approach to semantic role labeling in Chinese based on an extension of Construction-Integration (CI) model. The method can implicitly integrate more contextual and general knowledge into the calculating process in contrast with the machine learning methods. First, we define a proposition representation as the basic unit for semantic role labeling using CI model. Then the contextually appropriate propositions will be strengthened and inappropriate ones will be inhibited by simulating the spreading activation of human mind. Finally, experimental results show an encouraging performance on Chinese PropBank (CPB) and other two datasets.

Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE, 2010
DOIs
StatePublished - 2010
Externally publishedYes
Event6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010 - Beijing, China
Duration: 21 Aug 201023 Aug 2010

Publication series

NameProceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010

Conference

Conference6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010
Country/TerritoryChina
CityBeijing
Period21/08/1023/08/10

Keywords

  • Chinese predicate
  • Cognitive approach
  • Construction-Integration model
  • Semantic role labeling

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