Cross-language mining for acronyms and their completions from the web

Authors:
Udo Hahn;Philipp Daumke;Stefan Schulz;Kornél Markó
Affiliations:
Jena University Language and Information Engineerings (JULIE) Lab, Germany;Department of Medical Informatics, Freiburg University Hospital, Germany;Department of Medical Informatics, Freiburg University Hospital, Germany;Department of Medical Informatics, Freiburg University Hospital, Germany
Venue:
DS'05 Proceedings of the 8th international conference on Discovery Science
Year:
2005

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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.