Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/5199
Title: PolyUCOMP : combining semantic vectors with skip bigrams for semantic textual similarity
Authors: Xu, J
Lu, Q 
Liu, Z
Issue Date: 7-Jun-2012
Publisher: Association for Computational Linguistics (ACL)
Source: *SEM 2012: The First Joint Conference on Lexical and Computational Semantics, June 7-8, 2012, Montre´al, Canada, p. 524–528 How to cite?
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.
URI: http://hdl.handle.net/10397/5199
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
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

234
Last Week
1
Last month
Checked on May 1, 2016

Download(s)

137
Checked on May 1, 2016

Google ScholarTM

Check



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