Paper: XLING: Matching Query Sentences to a Parallel Corpus using Topic Models for WSD

ACL ID S13-2030
Title XLING: Matching Query Sentences to a Parallel Corpus using Topic Models for WSD
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

This paper describes the XLING system partici- pation in SemEval-2013 Crosslingual Word Sense Disambiguation task. The XLING system introduces a novel approach to skip the sense disambiguation step by matching query sentenc- es to sentences in a parallel corpus using topic models; it returns the word alignments as the translation for the target polysemous words. Although, the topic-model base matching under- performed, the matching approach showed po- tential in the simple cosine-based surface simi- larity matching.