Paper: A Hybrid Relational Approach For WSD - First Results

ACL ID P06-3010
Title A Hybrid Relational Approach For WSD - First Results
Venue Annual Meeting of the Association of Computational Linguistics
Session Student Session
Year 2006
Authors

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 com- bine 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 out- performs the other machine learning tech- niques investigated (66%).