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Long short-term memory RNN for biomedical named entity recognition
BACKGROUND: Biomedical named entity recognition(BNER) is a crucial initial step of information extraction in biomedical domain. The task is typically modeled as a sequence labeling problem. Various machine learning algorithms, such as Conditional Random Fields (CRFs), have been successfully used for...
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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5663060/ https://ncbi.nlm.nih.gov/pubmed/29084508 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1868-5 |
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