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A comparison of conditional random fields and structured support vector machines for chemical entity recognition in biomedical literature
BACKGROUND: Chemical compounds and drugs (together called chemical entities) embedded in scientific articles are crucial for many information extraction tasks in the biomedical domain. However, only a very limited number of chemical entity recognition systems are publically available, probably due t...
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| Publicat a: | J Cheminform |
|---|---|
| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2015
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4331698/ https://ncbi.nlm.nih.gov/pubmed/25810779 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1758-2946-7-S1-S8 |
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