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Identification of Chinese event and their argument roles

  • Hongye Tan*
  • , Tiejum Zhao
  • , Jiaheng Zheng
  • *Corresponding author for this work

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

Abstract

Event detection and recognition is a major task in ACE evaluation plan. In this paper, we focus on solving the two subtasks: (1) event detection and classification, (2) their argument role identification. For the first subtask, the strategy of local feature selection and explicit discrimination of positive and negative features is used in order to ensure the performance of each type. For the second subtask, the approach based on multi-level patterns is presented in order to improve the coverage of patterns and to use various language information. Experiments on the ACE2005 corpus show that performance of the first subtask is satisfying with the 83.5% macro-average Fl-measure. And experiments of the second subtask show that the method based on multi-level patterns is very promising.

Original languageEnglish
Title of host publicationProceedings - 8th IEEE International Conference on Computer and Information Technology Workshops, CIT Workshops 2008
Pages14-19
Number of pages6
DOIs
StatePublished - 2008
Event8th IEEE International Conference on Computer and Information Technology Workshops, CIT Workshops 2008 - Sydney, Australia
Duration: 8 Jul 200811 Jul 2008

Publication series

NameProceedings - 8th IEEE International Conference on Computer and Information Technology Workshops, CIT Workshops 2008

Conference

Conference8th IEEE International Conference on Computer and Information Technology Workshops, CIT Workshops 2008
Country/TerritoryAustralia
CitySydney
Period8/07/0811/07/08

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