Graph-based clustering for computational linguistics: A survey

Zheng Chen, Heng Ji

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this survey we overview graph-based clustering and its applications in computational linguistics. We summarize graph-based clustering as a five-part story: hypothesis, modeling, measure, algorithm and evaluation. We then survey three typical NLP problems in which graph-based clustering approaches have been successfully applied. Finally, we comment on the strengths and weaknesses of graph-based clustering and envision that graph-based clustering is a promising solution for some emerging NLP problems.

Original languageEnglish (US)
Title of host publicationTextGraphs 2010 - 2010 Workshop on Graph-Based Methods for Natural Language Processing at the 48th Annual Meeting of the Association for Computational Linguistics, ACL 2010 - Proceedings of the Workshop
EditorsCarmen Banea, Alessandro Moschitti, Swapna Somasundaran, Fabio Massimo Zanzotto
PublisherAssociation for Computational Linguistics (ACL)
Pages1-9
Number of pages9
ISBN (Electronic)1932432779, 9781932432770
StatePublished - 2010
Externally publishedYes
Event2010 Workshop on Graph-Based Methods for Natural Language Processing, TextGraphs 2010 at the 48th Annual Meeting of the Association for Computational Linguistics, ACL 2010 - Proceedings of the Workshop - Uppsala, Sweden
Duration: Jul 16 2010 → …

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (Print)0736-587X

Conference

Conference2010 Workshop on Graph-Based Methods for Natural Language Processing, TextGraphs 2010 at the 48th Annual Meeting of the Association for Computational Linguistics, ACL 2010 - Proceedings of the Workshop
Country/TerritorySweden
CityUppsala
Period7/16/10 → …

ASJC Scopus subject areas

  • Computer Science Applications
  • Linguistics and Language
  • Language and Linguistics

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