Paper: Learning Expressive Models for Word Sense Disambiguation

ACL ID P07-1006
Title Learning Expressive Models for Word Sense Disambiguation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

We present a novel approach to the word sense disambiguation problem which makes use of corpus-based evidence com- bined with background knowledge. Em- ploying an inductive logic programming algorithm, the approach generates expres- sive disambiguation rules which exploit several knowledge sources and can also model relations between them. The ap- proach is evaluated in two tasks: identifica- tion of the correct translation for a set of highly ambiguous verbs in English- Portuguese translation and disambiguation of verbs from the Senseval-3 lexical sam- ple task. The average accuracy obtained for the multilingual task outperforms the other machine learning techniques investigated. In the monolingual task, the approach per- forms as well as the state-of-the-art sys- tems which reported resu...