Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Error driven word sense disambiguation
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
A rule-based approach to prepositional phrase attachment disambiguation
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Randomized rule selection in transformation-based learning: a comparative study
Natural Language Engineering
Error driven word sense disambiguation
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
A client/server architecture for word sense disambiguation
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Semantic annotation: mapping text to ontologies
International Journal of Metadata, Semantics and Ontologies
Understanding the role of conceptual relations in Word Sense Disambiguation
Expert Systems with Applications: An International Journal
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In this paper we describe a method for performing word sense disambiguation (WSD). The method relies on unsupervised learning and exploits functional relations among words as produced by a shallow parser. By exploiting an error driven rule learning algorithm (Brill 1997), the system is able to produce rules for WSD, which can be optionally edited by humans in order to increase the performance of the system.