Paper: NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10)

ACL ID S13-2034
Title NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10)
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

This paper describes the NRC submission to the Spanish Cross-Lingual Word Sense Dis- ambiguation task at SemEval-2013. Since this word sense disambiguation task uses Spanish translations of English words as gold annota- tion, it can be cast as a machine translation problem. We therefore submitted the output of a standard phrase-based system as a baseline, and investigated ways to improve its sense dis- ambiguation performance. Using only local context information and no linguistic analy- sis beyond lemmatization, our machine trans- lation system surprisingly yields top precision score based on the best predictions. However, its top 5 predictions are weaker than those from other systems.