Abstract

Event Extraction (EE) is an important task in Natural Language Understanding (NLU). As the complexity of Chinese structure, Chinese EE is more difficult than English EE. According to the characteristics of Chinese, this paper designed a Semantic-GRU (Sem-GRU) model, which integrates Chinese word context semantics, Chinese word glyph semantics and Chinese word structure semantics. And this paper uses the model for Chinese Event Trigger Extraction (ETE) task. The experiment is compared in two tasks: ETE and Named Entity Recognition (NER). In ETE, the paper uses ACE 2005 Chinese event dataset to compare the existing research, the effect reaches 75.8

Keywords

MSC

68-T10

Cite this article

@article{cai-5869,
  author  = {Shaowu Zhu and Haichun Sun and Hanying Jian},
  title   = {Research on Event Extraction Model Based on Semantic Features of Chinese Words},
  journal = {Computing and Informatics},
  volume  = {41},
  number  = {6},
  pages   = {1625--1647},
  year    = {2022},
  issn    = {1335-9150},
  doi     = {10.31577/cai_2022_6_1625}
}
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