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Discriminative application of string similarity methods to chemical and non-chemical names for biomedical abbreviation clustering

BACKGROUND: Term clustering, by measuring the string similarities between terms, is known within the natural language processing community to be an effective method for improving the quality of texts and dictionaries. However, we have observed that chemical names are difficult to cluster using strin...

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Detalles Bibliográficos
Autores principales: Yamaguchi, Atsuko, Yamamoto, Yasunori, Kim, Jin-Dong, Takagi, Toshihisa, Yonezawa, Akinori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394426/
https://www.ncbi.nlm.nih.gov/pubmed/22759617
http://dx.doi.org/10.1186/1471-2164-13-S3-S8