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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Detalles Bibliográficos
Autores principales: Tang, Buzhou, Feng, Yudong, Wang, Xiaolong, Wu, Yonghui, Zhang, Yaoyun, Jiang, Min, Wang, Jingqi, Xu, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331698/
https://www.ncbi.nlm.nih.gov/pubmed/25810779
http://dx.doi.org/10.1186/1758-2946-7-S1-S8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331698/
https://www.ncbi.nlm.nih.gov/pubmed/25810779
http://dx.doi.org/10.1186/1758-2946-7-S1-S8

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