Please use this identifier to cite or link to this item:
|Title:||PolyUCOMP : combining semantic vectors with skip bigrams for semantic textual similarity|
|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.|
|Rights:||©Association for Computational Linguistics|
Reproduced with permission of the author.
|Appears in Collections:||Conference Paper|
Show full item record
Files in This Item:
|Xu_PolyUCOMP_Semantic_Textual.pdf||194.09 kB||Adobe PDF||View/Open|
Checked on Feb 7, 2016
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.