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Selected Publication:

SHR Neuro Cancer Cardio Lipid

Hahn, U; Daumke, P; Schulz, S; Marko, K.
Cross-language mining for acronyms and their completions from the web
In: Carbonell, JG, Motoda, H, Hoffmann, A. editors(s). DISCOVERY SCIENCE, PROCEEDINGS; LECTURE NOTES IN COMPUTER SCIENCE3735: 113-123. (ISBN: 3-540-29230-6)
Web of Science


Authors Med Uni Graz:
Schulz Stefan

We propose a method that aligns biomedical acronyms and their longform 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.

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