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Identification and extraction of topic elements for Chinese interactive text

  • Haiping Zhu
  • , Yang Yang
  • , Yan Chen
  • , Xiaolu Yu
  • Xi'an Jiaotong University

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

Abstract

This paper is based on identification and extraction of topic elements for Chinese interactive text. A topic segmentation method based on time sequence is achieved. Then a novel identification and extraction algorithm of topic elements is proposed. Firstly, noise filtering and Chinese word segmentation on the original corpus are executed. Secondly, the identifying and extracting method in group of mixed turn is used to extract the topic elements, such as time, place and figure. Finally, performance evaluation of identification recall, identification accuracy and extraction accuracy are achieved. The experimental results show the effectiveness of the algorithm.

Original languageEnglish
Title of host publication2011 International Conference on Multimedia Technology, ICMT 2011
Pages4940-4943
Number of pages4
DOIs
StatePublished - 2011
Event2nd International Conference on Multimedia Technology, ICMT 2011 - Hangzhou, China
Duration: 26 Jul 201128 Jul 2011

Publication series

Name2011 International Conference on Multimedia Technology, ICMT 2011

Conference

Conference2nd International Conference on Multimedia Technology, ICMT 2011
Country/TerritoryChina
CityHangzhou
Period26/07/1128/07/11

Keywords

  • Interactive text
  • Topic elements
  • Topic elements identification and extraction
  • Topic segmentation

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