NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10)
Marine Jacinthe Carpuat · 2013
This paper describes the NRC submission to the Spanish Cross-Lingual Word Sense Disambiguation task at SemEval-2013. Since this word sense disambiguation task uses Spanish translations of English words as gold annotation, 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 disambiguation performance. Using only local context information and no linguistic analysis beyond lemmatization, our machine translation system surprisingly yields top precision score based on the best predictions. However,