Word sense disambiguation in information retrieval revisited
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Information retrieval using word senses: root sense tagging approach
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
An effective approach to document retrieval via utilizing WordNet and recognizing phrases
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Word sense disambiguation in queries
Proceedings of the 14th ACM international conference on Information and knowledge management
CLEF 2008: ad hoc track overview
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Analysis of word sense disambiguation-based information retrieval
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
User behaviour and lexical ambiguity in cross-language image retrieval
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Using semantic relatedness and word sense disambiguation for (CL)IR
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
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This paper describes experiments for the CLEF 2008 Robust-WSD task, both for the monolingual (English) and the bilingual (Spanish to English) subtasks. We tried several query and document expansion and translation strategies, with and without the use of the word sense disambiguation results provided by the organizers. All expansions and translations were done using the English and Spanish wordnets as provided by the organizers and no other resource was used. We used Indri as the search engine, which we tuned in the training part. Our main goal was to improve (Cross Lingual) Information Retrieval results using WSD information, and we attained improvements in both mono and bilingual subtasks, with statistically significant differences on the second. Our best systems ranked 4th overall and 3rd overall in the monolingual and bilingual subtasks, respectively.