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Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations
BACKGROUND: Chemical and biomedical Named Entity Recognition (NER) is an essential prerequisite task before effective text mining can begin for biochemical-text data. Exploiting unlabeled text data to leverage system performance has been an active and challenging research topic in text mining due to...
Uloženo v:
| Vydáno v: | J Cheminform |
|---|---|
| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2015
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4331699/ https://ncbi.nlm.nih.gov/pubmed/25810780 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1758-2946-7-S1-S9 |
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