Exploring supervised and unsupervised methods to detect topics in biomedical text

BACKGROUND: Topic detection is a task that automatically identifies topics (e.g., "biochemistry" and "protein structure") in scientific articles based on information content. Topic detection will benefit many other natural language processing tasks including information retrieval...

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Detalles Bibliográficos
Autores principales: Lee, Minsuk, Wang, Weiqing, Yu, Hong
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1472693/
https://www.ncbi.nlm.nih.gov/pubmed/16539745
http://dx.doi.org/10.1186/1471-2105-7-140

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1472693/
https://www.ncbi.nlm.nih.gov/pubmed/16539745
http://dx.doi.org/10.1186/1471-2105-7-140

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