WordNet: a lexical database for English
Communications of the ACM
Information Systems - Special issue on web data integration
Automatic noun sense disambiguation
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Tagging for improved semantic interpretation of XML
ESAIR '10 Proceedings of the third workshop on Exploiting semantic annotations in information retrieval
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Word Sense Disambiguation (WSD), in the field of Natural Language Processing (NLP), consists in assigning the correct sense (semantics) to a word form (lexeme) by means of the context in which the lexeme is found. In this paper we investigate the possibility of applying WSD techniques to the field of Information Retrieval, especially to the retrieval of XML documents. We consider two methods to automatically assign semantic values to XML tags on the grounds of the tagged text contained. Such methods rely on the bayesian supervised approach and on an automatic unsupervised approach and exploit the WordNet ontology. Results show that the applicability of both methods is hampered by the habit of use abbreviation or shortcuts as tags.