Experiment on linguistically-based term associations
Information Processing and Management: an International Journal
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
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
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
A cooccurrence-based thesaurus and two applications to information retrieval
Information Processing and Management: an International Journal
Textual context analysis for information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
Complementing WordNet with Roget's and corpus-based thesauri for information retrieval
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Noun classification from predicate-argument structures
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
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One of the most intuitive ideas for enhancing the effectiveness of an information retrieval system is to include the use of a thesaurus. WordNet, as a hand-crafted and general-purpose thesaurus, intuitively should also work fine in information retrieval, but unfortunately, experimental results by many researchers have not been promising. Thereby in this paper we investigate why the use of Word-Net in information retrieval has not been successful. Based on this analysis we propose a method to combine WordNet with predicate-argument-based and co-occurrence-based automatically constructed thesauri. Experiments using large test collection shows that our method results in a significant improvement of information retrieval performance.