Cargando…
Ensemble of Deep Masked Language Models for Effective Named Entity Recognition in Health and Life Science Corpora
The health and life science domains are well known for their wealth of named entities found in large free text corpora, such as scientific literature and electronic health records. To unlock the value of such corpora, named entity recognition (NER) methods are proposed. Inspired by the success of tr...
Autores principales: | Naderi, Nona, Knafou, Julien, Copara, Jenny, Ruch, Patrick, Teodoro, Douglas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640190/ https://www.ncbi.nlm.nih.gov/pubmed/34870074 http://dx.doi.org/10.3389/frma.2021.689803 |
Ejemplares similares
-
Language Bias in Health Research: External Factors That Influence Latent Language Patterns
por: Valdez, Danny, et al.
Publicado: (2020) -
UPCLASS: a deep learning-based classifier for UniProtKB entry publications
por: Teodoro, Douglas, et al.
Publicado: (2020) -
Delayed Recognition: A Co-Citation Perspective
por: Zhao, Wenxi, et al.
Publicado: (2021) -
The method behind the unprecedented production of indicators of the presence of languages in the Internet
por: Pimienta, Daniel, et al.
Publicado: (2023) -
Complexity leadership in action: a team science case study
por: Jiang, Gemma, et al.
Publicado: (2023)