Abstract
We present a novel hybrid approach for Word Sense Disambiguation (WSD) which makes use of a relational formalism to represent instances and background knowledge. It is built using Inductive Logic Programming techniques to combine evidence coming from both sources during the learning process, producing a rule-based WSD model. We experimented with this approach to disambiguate 7 highly ambiguous verbs in English-Portuguese translation. Results showed that the approach is promising, achieving an average accuracy of 75%, which outperforms the other machine learning techniques investigated (66%).
Cite
CITATION STYLE
Specia, L. (2006). A hybrid relational approach for WSD - First results. In COLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Student Research Workshop (pp. 55–60). Association for Computational Linguistics (ACL).
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
