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...

Descripción completa

Detalles Bibliográficos
Autores principales: Munkhdalai, Tsendsuren, Li, Meijing, Batsuren, Khuyagbaatar, Park, Hyeon Ah, Choi, Nak Hyeon, Ryu, Keun Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331699/
https://www.ncbi.nlm.nih.gov/pubmed/25810780
http://dx.doi.org/10.1186/1758-2946-7-S1-S9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331699/
https://www.ncbi.nlm.nih.gov/pubmed/25810780
http://dx.doi.org/10.1186/1758-2946-7-S1-S9

Ejemplares similares