Unsupervised Word Sense Disambiguation with Multilingual Representations
Erwin Fernandez-Ordoñez | Rada Mihalcea | Samer Hassan
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
In this paper we investigate the role of multilingual features in improving word sense disambiguation. In particular, we explore the use of semantic clues derived from context translation to enrich the intended sense and therefore reduce ambiguity. Our experiments demonstrate up to 26% increase in disambiguation accuracy by utilizing multilingual features as compared to the monolingual baseline.