PolyUCOMP: Combining Semantic Vectors with Skip bigrams for Semantic Textual Similarity

Jian Xu, Qin Lu, Zhengzhong Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This paper presents the work of the Hong Kong Polytechnic University (PolyUCOMP) team which has participated in the Semantic Textual Similarity task of SemEval-2012. The PolyUCOMP system combines semantic vectors with skip bigrams to determine sentence similarity. The semantic vector is used to compute similarities between sentence pairs using the lexical database WordNet and the Wikipedia corpus. The use of skip bigram is to introduce the order of words in measuring sentence similarity.
Original languageEnglish
Title of host publicationProceedings of the 6th International Workshop on Semantic Evaluation, SemEval 2012
PublisherAssociation for Computational Linguistics (ACL)
Pages524-528
Number of pages5
Volume2
ISBN (Electronic)9781937284220
Publication statusPublished - 1 Jan 2012
Event1st Joint Conference on Lexical and Computational Semantics, *SEM 2012 - Montreal, Canada
Duration: 7 Jun 20128 Jun 2012

Conference

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

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Theoretical Computer Science
  • Computer Science Applications

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