A cross-lingual framework for monolingual biomedical information retrieval
conference paper
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 realized 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. © 2010 ACM.
TNO Identifier
426823
ISBN
9781450300995
Source title
19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10, 26 October 2010 through 30 October 2010, Toronto, ON. Conference code: 82879
Pages
169-178
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