A System for Identifying Named Entities in Biomedical Text: how Results From two Evaluations Reflect on Both the System and the Evaluations

We present a maximum entropy-based system for identifying named entities (NEs) in biomedical abstracts and present its performance in the only two biomedical named entity recognition (NER) comparative evaluations that have been held to date, namely BioCreative and Coling BioNLP. Our system obtained...

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Detalles Bibliográficos
Autores principales: Dingare, Shipra, Nissim, Malvina, Finkel, Jenny, Manning, Christopher, Grover, Claire
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2005
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2448599/
https://www.ncbi.nlm.nih.gov/pubmed/18629295
http://dx.doi.org/10.1002/cfg.457

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2448599/
https://www.ncbi.nlm.nih.gov/pubmed/18629295
http://dx.doi.org/10.1002/cfg.457

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