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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Dingare, Shipra, Nissim, Malvina, Finkel, Jenny, Manning, Christopher, Grover, Claire
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Hindawi Publishing Corporation 2005
Gaiak:
Research Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC2448599/
https://ncbi.nlm.nih.gov/pubmed/18629295
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cfg.457
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