Name
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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11563983_11 | Discovery Science |
Keywords | Field | DocType |
acronym definition,biomedical acronym,extraction tool,cross-language mining,long-form definition,language-specific variant,subsequent step,available search,different language,semantic interlingua | Acronym,Data mining,World Wide Web,Multilingualism,Computer science,Interlingua,Knowledge extraction,Semantics,The Internet | Conference |
Volume | ISSN | ISBN |
3735 | 0302-9743 | 3-540-29230-6 |
Citations | PageRank | References |
4 | 0.49 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Udo Hahn | 1 | 937 | 88.14 |
| Philipp Daumke | 2 | 34 | 7.34 |
| Stefan Schulz | 3 | 1092 | 127.03 |
| Kornél Markó | 4 | 38 | 3.58 |