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Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristics
BACKGROUND: The development of robust methods for chemical named entity recognition, a challenging natural language processing task, was previously hindered by the lack of publicly available, large-scale, gold standard corpora. The recent public release of a large chemical entity-annotated corpus as...
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| 出版年: | J Cheminform |
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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
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4331696/ https://ncbi.nlm.nih.gov/pubmed/25810777 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1758-2946-7-S1-S6 |
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