Paper: An Empirical Study Of The Domain Dependence Of Supervised Word Disambiguation Systems

ACL ID W00-1322
Title An Empirical Study Of The Domain Dependence Of Supervised Word Disambiguation Systems
Venue 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora
Session Main Conference
Year 2000
Authors

This paper describes a set of experiments car- ried out to explore the domain dependence of alternative supervised Word Sense Disam- biguation algorithms. The aim of the work is threefold: studying the performance of these algorithms when tested on a different cor- pus from that they were trained on; explor- ing their ability to tune to new domains, and demonstrating empirically that the Lazy- Boosting algorithm outperforms state-of-the- art supervised WSD algorithms in both previ- ous situations.