Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
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)
Doi: 10.1007/11563983_11
Web of Science
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- Co-Autor*innen der Med Uni Graz
- Schulz Stefan
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- Abstract:
- 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.