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Cross-Language Mining for Acronyms and Their Completions from the Web

  • Udo Hahn
  • Philipp Daumke
  • Stefan Schulz
  • Kornél Markó
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3735)

Abstract

We propose a method that aligns biomedical acronyms and their long-form definitions across different languages. We use a freely available search and extraction tool by which abbreviations, together with their fully expanded forms, are massively mined from the Web. In a subsequent step, language-specific variants, synonyms, and translations of the extracted acronym definitions are normalized by referring to a language-independent, shared semantic interlingua.

Keywords

Short Form Biomedical Text Long Form MEDLINE Abstract English Corpus 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Udo Hahn
    • 1
  • Philipp Daumke
    • 2
  • Stefan Schulz
    • 2
  • Kornél Markó
    • 2
  1. 1.Jena University Language and Information Engineerings (JULIE) LabGermany
  2. 2.Department of Medical InformaticsFreiburg University HospitalGermany

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