Paper: INAOE_UPV-CORE: Extracting Word Associations from Document Corpora to estimate Semantic Textual Similarity

ACL ID S13-1033
Title INAOE_UPV-CORE: Extracting Word Associations from Document Corpora to estimate Semantic Textual Similarity
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

This paper presents three methods to evaluate the Semantic Textual Similarity (STS). The first two methods do not require labeled train- ing data; instead, they automatically extract semantic knowledge in the form of word asso- ciations from a given reference corpus. Two kinds of word associations are considered: co- occurrence statistics and the similarity of word contexts. The third method was done in collaboration with groups from the Universi- ties of Paris 13, Matanzas and Alicante. It uses several word similarity measures as fea- tures in order to construct an accurate predic- tion model for the STS.