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A Hybrid Relational Approach for Word Sense Disambiguation
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@MISC{Specia_ahybrid,
author = {Lucia Specia and Maria Graças and Volpe Nunes and Mark Stevenson},
title = {A Hybrid Relational Approach for Word Sense Disambiguation},
year = {}
}
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Abstract
Abstract. We propose a novel approach for word sense disambiguation which makes use of corpus-based evidence combined with background knowledge. Using an inductive logic programming technique, it generates expressive models which exploit several knowledge sources and also the relations between them. The approach is evaluated in two tasks: identification of the correct translation for verbs in English-Portuguese and disambiguation of verbs from the Senseval-3 competition. The accuracy obtained in the multilingual task outperforms the alternative learning techniques investigated. The models also yielded significant improvement to the translation quality when integrated into a machine translation system. In the monolingual task, the approach performs as well as the state-of-theart systems for Senseval verbs.
Keyphrases
word sense disambiguation hybrid relational approach senseval verb significant improvement machine translation system corpus-based evidence several knowledge source senseval-3 competition translation quality state-of-theart system expressive model multilingual task novel approach correct translation monolingual task background knowledge alternative learning technique inductive logic programming technique
