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 | 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 | Size | Format | |
|---|---|---|---|---|
| Xu_PolyUCOMP_Semantic_Textual.pdf | 194.09 kB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
98
Last Week
0
0
Last month
Citations as of Apr 14, 2024
Downloads
46
Citations as of Apr 14, 2024
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.