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ChemTok: A New Rule Based Tokenizer for Chemical Named Entity Recognition
Named Entity Recognition (NER) from text constitutes the first step in many text mining applications. The most important preliminary step for NER systems using machine learning approaches is tokenization where raw text is segmented into tokens. This study proposes an enhanced rule based tokenizer, C...
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| Опубликовано в: : | Biomed Res Int |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Hindawi Publishing Corporation
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4749772/ https://ncbi.nlm.nih.gov/pubmed/26942193 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/4248026 |
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