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Fast max-margin clustering for unsupervised word sense disambiguation in biomedical texts
BACKGROUND: We aim to solve the problem of determining word senses for ambiguous biomedical terms with minimal human effort. METHODS: We build a fully automated system for Word Sense Disambiguation by designing a system that does not require manually-constructed external resources or manually-labele...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2665052/ https://www.ncbi.nlm.nih.gov/pubmed/19344480 http://dx.doi.org/10.1186/1471-2105-10-S3-S4 |