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...

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Detalles Bibliográficos
Autores principales: Duan, Weisi, Song, Min, Yates, Alexander
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Proceedings
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

Internet

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

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