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
The impact on retrieval effectiveness of skewed frequency distributions
ACM Transactions on Information Systems (TOIS)
Differentiating homonymy and polysemy in information retrieval
HLT '05 Proceedings of the conference on Human Language Technology and 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
Fourth workshop on exploiting semantic annotations in information retrieval (ESAIR)
Proceedings of the 20th ACM international conference on Information and knowledge management
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Syntactic and semantic ambiguity affect the text retrieval task as each type of ambiguity influences precision and/or recall. In this work we provide an experimental study on the effect of several ambiguity types in IR, by resolving each ambiguity type separately and adding respective annotations in the indexed text. We focus on five small text retrieval collections.