Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/5199
PIRA download icon_1.1View/Download Full Text
Title: PolyUCOMP : combining semantic vectors with skip bigrams for semantic textual similarity
Authors: Xu, J
Lu, Q 
Liu, Z
Issue Date: 7-Jun-2012
Source: *SEM 2012: The First Joint Conference on Lexical and Computational Semantics, June 7-8, 2012, Montre´al, Canada, p. 524–528
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.
Publisher: Association for Computational Linguistics (ACL)
ISBN: 978-1-937284-21-3 (v.1)
978-1-937284-22-0 (v.2)
Rights: ©Association for Computational Linguistics
Reproduced with permission of the author.
Appears in Collections:Conference Paper

Files in This Item:
File Description SizeFormat 
Xu_PolyUCOMP_Semantic_Textual.pdf194.09 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

48
Last Week
0
Last month
Citations as of Jun 26, 2022

Downloads

27
Citations as of Jun 26, 2022

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.