Domain-specific term extraction from free texts

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

9 Citations (Scopus)

Abstract

Domain-specific term extraction is a subtask of domain-specific ontology construction, and has been applied into text classification, information retrieval, question answering, automatic indexing, and machine translation and so on. In this paper, we propose an iterative bootstrapping approach to extracting domain-specific terms from un-annotated Chinese free texts. The strings whose internal components are with more probabilities being inside domain-specific terms are identified as candidate terms. Experimental results on three domains of computer, military, and archaeology demonstrate the effectiveness and domain independent nature of our approach.

Original languageEnglish
Title of host publicationProceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
Pages1290-1293
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012 - Chongqing, China
Duration: 29 May 201231 May 2012

Publication series

NameProceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012

Conference

Conference2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
Country/TerritoryChina
CityChongqing
Period29/05/1231/05/12

Keywords

  • Chinese texts
  • domain-specific ontology
  • iterative bootstrapping method
  • term extraction

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