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- W1512001397 abstract "In this paper, we investigate on potential improve- ments to Information Retrieval (IR) models related to document representation and conceptual, topic retrieval, in medical docu- ment collections. We propose the TSRM 1 (Term Similarity and Retrieval Model) approach, where document representations are based on multi-word domain terms, rather than mere single key-words, typically applied in traditional IR. The proposed representation is semantically compact and more efficient, being reduced to a limited number of meaningful multi-word terms (phrases), rather than large vectors of single-words, part of which may be void of distinctive content semantics. In computing document similarity, contrary to other state-of-the- art methods examined in this work, TSRM adopts a knowledge poor solution, namely an approach which does not require any existing knowledge resources, such as ontologies, or thesauri. The evaluation of TSRM is based on OHSUMED, a standard TREC collection of medical documents and illustrated the ef- ficiency of TSRM over other well established general purpose IR models." @default.
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- W1512001397 date "2010-10-01" @default.
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- W1512001397 title "Exploiting Multi-Word Similarity for Retrieval in Medical Document Collections: the TSRM Approach" @default.
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