Context-Dependent Semantic Annotation in Cross-Lingual Biomedical Resources

  • Rafael Berlanga
  • Antonio Jimeno-Yepes
  • María Pérez-Catalán
  • Dietrich Rebholz-Schuhmann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8138)

Abstract

This paper presents a study about the impact of contexts in automatic semantic annotation over cross-lingual biomedical resources. Semantic annotation consists in associating parts of document texts to concepts described in some knowledge resource (KR). In this paper, we propose an unsupervised method for semantic annotation that regards contexts for validating the annotations. We test the method with two cross-lingual corpora, which allows us extracting correct annotations in the languages in the aligned corpora. Results show that annotated cross-lingual corpora provides grounds for qualitative comparison of semantic annotation algorithms.

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References

  1. 1.
    Pérez, M., Berlanga, R., Sanz, I., Aramburu, M.J.: A semantic approach for the requirement-driven discovery of web resources in the Life Science. Knowledge and Information Systems 34(3), 671–690 (2013)CrossRefGoogle Scholar
  2. 2.
    Rebholz-Schuhmann, D., Arregui, M., Gaudan, S., Kirsch, H., Jimeno-Yepes, A.: Text processing through Web services: calling Whatizit. Bioinformatics 24(2), 296–298 (2008)CrossRefGoogle Scholar
  3. 3.
    Jimeno-Yepes, A., Aronson, A.: Knowledge-based biomedical word sense disambiguation: comparison of approaches. BMC Bioinformatics 11, 565 (2010)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Rafael Berlanga
    • 1
  • Antonio Jimeno-Yepes
    • 2
  • María Pérez-Catalán
    • 1
  • Dietrich Rebholz-Schuhmann
    • 3
  1. 1.Department of Languages and Computer SystemsUniversitat Jaume ICastellóSpain
  2. 2.National ICT AustraliaAustralia
  3. 3.Department of Computational LinguisticsUniversity of ZürichSwitzerland

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