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| HAL: hal-00707691, version 1 |
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| 34th European Conference on Information Retrieval (ECIR), Barcelone : Espagne (2012) |
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| Using a Medical Thesaurus to Predict Query Difficulty |
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| Florian Boudin 1Jian-Yun Nie 2 |
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| (2012-06-13) |
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| Estimating query performance is the task of predicting the quality of results returned by a search engine in response to a query. In this paper, we focus on pre-retrieval prediction methods for the medical domain. We propose a novel predictor that exploits a thesaurus to as- certain how difficult queries are. In our experiments, we show that our predictor outperforms the state-of-the-art methods that do not use a thesaurus. |
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| 1: | Laboratoire d'Informatique de Nantes Atlantique (LINA) |
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CNRS : UMR6241 – Université de Nantes – École Nationale Supérieure des Mines - Nantes |
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| 2: | Recherche appliquée en linguistique informatique (RALI) |
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Université de Montréal |
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| 3: | University of British Columbia |
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University of British Columbia |
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| Subject | : | Computer Science/Document and Text Processing |
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| Attached file list to this document: | |||||
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| hal-00707691, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00707691 | |
| oai:hal.archives-ouvertes.fr:hal-00707691 | |
| From: Florian Boudin | |
| Submitted on: Wednesday, 13 June 2012 11:52:02 | |
| Updated on: Wednesday, 13 June 2012 14:13:25 | |
