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  • Semantic annotation for concept-based cross-language medical information retrieval
    Vintar, Špela
    We present a framework for concept-based cross-language information retrieval in the medical domain, which is under development in the MUCHMORE project. Ourapproach is based on using the Unified ... Medical Language System (UMLS) as the primary source of semantic data. Documents and queries are annotated with multiple layers of linguistic information. Linguistic processing includes part-of-speech tagging, morphological analysis, phrase recognition and the identification of medical terms and semantic relations between them. The paperdescribes experiments in monolingual and cross-language document retrieval, performed on a corpus of medical abstracts. Results show that linguistic processing, especially lemmatization and compound analysis for German, is a crucial step in achieving a good baseline performance. On the other hand, they show that semantic information, specifically the combined useof concepts and relations, increases the performance in monolingual and cross-language retrieval.
    Vir: International journal of medical informatics. - ISSN 1386-5056 (Vol. 67, št. 1/3, 2002, str. 97-112)
    Vrsta gradiva - članek, sestavni del ; neleposlovje za odrasle
    Leto - 2002
    Jezik - angleški
    COBISS.SI-ID - 28764258

vir: International journal of medical informatics. - ISSN 1386-5056 (Vol. 67, št. 1/3, 2002, str. 97-112)

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