Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-20335
Volk, M; Ripplinger, B; Vintar, S; Buitelaar, P; Raileanu, D; Sacaleanu, B (2002). Semantic annotation for concept-based cross-language medical information retrieval. International Journal of Medical Informatics, 67(1-3):97-112.
We present a framework for concept-based cross-language information retrieval in the medical domain, which is under development in the MUCHMORE pro ject. Our approach 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 paper describes 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 to achieving a good baseline performance. On the other hand they show that semantic information, specifically the combined use of concepts and relations, increases the performance in monolingual and cross-language retrieval.
|Item Type:||Journal Article, refereed, original work|
|Communities & Collections:||06 Faculty of Arts > Institute of Computational Linguistics|
|DDC:||000 Computer science, knowledge & systems|
|Deposited On:||24 Aug 2009 13:49|
|Last Modified:||27 Nov 2013 17:43|
|Citations:||Web of Science®. Times cited: 8|
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