SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
SemRank: ranking complex relationship search results on the semantic web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Algorithm, implementation and application of the SIM-DL similarity server
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
Using measures of semantic relatedness for word sense disambiguation
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
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Semantic association requires an analysis on similarity in order to provide better combinations. Several semantic similarity measures have been proposed for the Word Sense Disambiguation (WSD) problem. Therefore, this work aims to evaluate the performance of five semantic similarity measures into a thesaurus by WSD approach so as to incorporate semantic similarities into association problems. Experiments were conducted using two main algorithms of WSD domain. The results showed that the application of semantic similarity improves precision and recall on disambiguation domain. In order to complement the evaluation, we proposed a hybrid approach and we evaluated it over other measures presented. According to our results, it was possible to adapt a similarity measure for the problem of finding semantic associations in texts.