Trieschnigg, R.B. and Hiemstra, D. and de Jong, F.M.G. and Kraaij, W.
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.
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Official URL: http://doi.acm.org/10.1145/1871437.1871463
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|
|Deposited On:||04 August 2010|
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