A cross-lingual framework for monolingual biomedical information retrieval

  • Authors:

  • Dolf Trieschnigg;Djoerd Hiemstra;Franciska de Jong;Wessel Kraaij

  • Affiliations:

  • University of Twente, Enschede, Netherlands;University of Twente, Enschede, Netherlands;University of Twente, Enschede, Netherlands;Radboud University, Nijmegen, Netherlands

  • Venue:
  • CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.