Paper: A New Minimally-Supervised Framework for Domain Word Sense Disambiguation

ACL ID D12-1129
Title A New Minimally-Supervised Framework for Domain Word Sense Disambiguation
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2012
Authors

We present a new minimally-supervised framework for performing domain-driven Word Sense Disambiguation (WSD). Glos- saries for several domains are iteratively ac- quired from the Web by means of a boot- strapping technique. The acquired glosses are then used as the sense inventory for fully- unsupervised domain WSD. Our experiments, on new and gold-standard datasets, show that our wide-coverage framework enables high- performance results on dozens of domains at a coarse and fine-grained level.