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Chinese chunking and its application on similarity computation

  • Guanglu Sun*
  • , Bingquan Liu
  • , Xiaolong Wang
  • , Yuanchao Liu
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology

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

Abstract

This paper presents a new Chinese chunking algorithm based on conditional random fields. Conditional random fields overcome the label bias problem, model the labeling sequence and utilize many types of features. Furthermore, an algorithm of chunk similarity computation is proposed based on the systematic similarity method and semantic dictionary. The experimental results show that this approach achieves impressive accuracy in terms of the F-score: 92.00%. And the similarity computation algorithm performs well.

Original languageEnglish
Title of host publicationICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing, Proceedings
Pages1194-1198
Number of pages5
DOIs
StatePublished - 2008
Externally publishedYes
EventICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing - Shanghai, China
Duration: 7 Jul 20089 Jul 2008

Publication series

NameICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing, Proceedings

Conference

ConferenceICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing
Country/TerritoryChina
CityShanghai
Period7/07/089/07/08

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