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.
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Hahn, U., Daumke, P., Schulz, S., Markó, K. (2005). Cross-Language Mining for Acronyms and Their Completions from the Web. In: Hoffmann, A., Motoda, H., Scheffer, T. (eds) Discovery Science. DS 2005. Lecture Notes in Computer Science(), vol 3735. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11563983_11
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DOI: https://doi.org/10.1007/11563983_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29230-2
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