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18213 A Cross-lingual Framework for Monolingual Biomedical Information Retrieval
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Trieschnigg, R.B. and Hiemstra, D. and de Jong, F.M.G. and Kraaij, W. (2010) A Cross-lingual Framework for Monolingual Biomedical Information Retrieval. In: Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM '10), 26-30 Oct 2010, Toronto, Canada. pp. 169-178. ACM. ISBN 978-1-4503-0099-5

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An important challenge for biomedical information retrieval (IR) is dealing with the complex, inconsistent and ambiguous biomedical terminology. Frequently, a concept-based representation defined in terms of a domain-specific terminological resource is employed to deal with this challenge. In this paper, we approach the incorporation of a concept-based representation in monolingual biomedical IR from a cross-lingual perspective. In the proposed framework, this is reali
sed by translating and matching between text and concept-based representations. The approach allows for deployment of a rich set of techniques proposed and evaluated in traditional cross-lingual IR. We compare six translation models and measure their effectiveness in the biomedical domain. We demonstrate that the approach can result in significant improvements in retrieval effectiveness over word-based retrieval. Moreover, we demonstrate increased effectiveness of a CLIR framework for monolingual biomedical IR if basic translations models are combined.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-DB: Databases, EWI-HMI: Human Media Interaction
Research Program:CTIT-NICE: Natural Interaction in Computer-mediated Environments, CTIT-ASSIST: Applied Science of Services for Information Society Technologies
Research Project:BioRange: A research programme to shape the future for bioinformatics in the Netherlands, EfFoRT: Effective Focused Retrieval Techniques
Uncontrolled Keywords:biomedical information retrieval, TREC Genomics, language modeling, CLIR framework
ID Code:18213
Deposited On:04 August 2010
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