Using WordNet to disambiguate word senses for text retrieval
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
Shallow parsing using specialized hmms
The Journal of Machine Learning Research
The interaction of knowledge sources in word sense disambiguation
Computational Linguistics
Introduction to the special issue on word sense disambiguation: the state of the art
Computational Linguistics - Special issue on word sense disambiguation
Natural Language Engineering
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Word-sense disambiguation using statistical models of Roget's categories trained on large corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Word sense disambiguation using Conceptual Density
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Using a semantic concordance for sense identification
HLT '94 Proceedings of the workshop on Human Language Technology
A comparison between supervised learning algorithms for word sense disambiguation
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
The influence of semantics in IR using LSI and K-means clustering techniques
ISICT '03 Proceedings of the 1st international symposium on Information and communication technologies
Broad-coverage sense disambiguation and information extraction with a supersense sequence tagger
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Word sense disambiguation for exploiting hierarchical thesauri in text classification
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Word sense disambiguation as a traveling salesman problem
Artificial Intelligence Review
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In this work, we propose a supervised approach to Word Sense Disambiguation which is based on Specialized Hidden Markov Models and the use of WordNet. Our approach formulates the disambiguation process as a tagging problem. The specialization process allows for the incorporation of additional knowledge into the models. We evaluated our system on the English all-words taskof the Senseval-2 competition. The performance of our system is in line with the best approaches for this task.