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Multi-facet Document Representation and Retrieval

Abstract : This paper presents our participation in ImageCLEF2011, in the two tasks: ad-hoc image-based retrieval and case-based retrieval, of the medical retrieval track. We participated through a simple IR model based on three hypotheses: 1) the amount of overlap between a document and a query, 2) the descriptive power of an indexing element, and 3) the discriminative power of an indexing element. We used three types of indexing elements: ngrams, keywords, and concepts, for building and checking the e ectiveness of multi-facet document representation. Although of the simplicity of our model in both documents' representation and retrieval, we could obtain good results. The eighth out of 64 runs in the ad-hoc image-based retrieval task, and the fth out of 35 runs in the case-based retrieval task.
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Submitted on : Thursday, December 13, 2012 - 12:01:19 PM
Last modification on : Friday, July 17, 2020 - 11:10:27 AM
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  • HAL Id : hal-00764761, version 1



Karam Abdulahhad, Jean-Pierre Chevallet, Catherine Berrut. Multi-facet Document Representation and Retrieval. CLEF 2011 - Conference on Multilingual and Multimodal Information Access Evaluation, Sep 2011, Amsterdam, Netherlands. 9p. ⟨hal-00764761⟩



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