Sentence clustering via projection over term clusters

Lili Kotlerman, Ido Dagan, Maya Gorodetsky, Ezra Daya

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

5 Scopus citations

Abstract

This paper presents a novel sentence clustering scheme based on projecting sentences over term clusters. The scheme incorporates external knowledge to overcome lexical variability and small corpus size, and outperforms common sentence clustering methods on two reallife industrial datasets.

Original languageEnglish
Title of host publicationProceedings of the Main Conference and the Shared Task
PublisherAssociation for Computational Linguistics (ACL)
Pages38-43
Number of pages6
ISBN (Electronic)9781937284213
StatePublished - 2012
Event1st Joint Conference on Lexical and Computational Semantics, *SEM 2012 - Montreal, Canada
Duration: 7 Jun 20128 Jun 2012

Publication series

Name*SEM 2012 - 1st Joint Conference on Lexical and Computational Semantics
Volume1

Conference

Conference1st Joint Conference on Lexical and Computational Semantics, *SEM 2012
Country/TerritoryCanada
CityMontreal
Period7/06/128/06/12

Bibliographical note

Publisher Copyright:
© 2012 Association for Computational Linguistics.

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