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The method we develop is based on Na\u00efve Bayes classification and can be used both as a filtering and as a re-ranking technique. We show on the TREC ad-hoc collection that WSD is useful in the case of queries which are difficult due to sense ambiguity. Our interest regards improving the precision after 5, 10 and 30 retrieved documents (P@5, P@10, P@30), respectively, for such lowest precision queries.<\/jats:p>","DOI":"10.2478\/s13537-012-0032-6","type":"journal-article","created":{"date-parts":[[2012,12,27]],"date-time":"2012-12-27T14:20:27Z","timestamp":1356618027000},"source":"Crossref","is-referenced-by-count":3,"title":["Word sense disambiguation to improve precision for ambiguous queries"],"prefix":"10.2478","volume":"2","author":[{"given":"Adrian-Gabriel","family":"Chifu","sequence":"first","affiliation":[]},{"given":"Radu-Tudor","family":"Ionescu","sequence":"additional","affiliation":[]}],"member":"374","reference":[{"key":"32_CR1","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1007\/s10115-011-0391-7","volume":"30","author":"A. Baccini","year":"2012","unstructured":"Baccini A., D\u00e9jean S., Lafage L., Mothe J., How many performance measures to evaluate Information Retrieval Systems?, Knowl. Inf. 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