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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2012
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| 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 |