Cargando…
Research on Named Entity Recognition Based on Multi-Task Learning and Biaffine Mechanism
Commonly used nested entity recognition methods are span-based entity recognition methods, which focus on learning the head and tail representations of entities. This method lacks obvious boundary supervision, which leads to the failure of the correct candidate entities to be predicted, resulting in...
Autores principales: | Gao, Wenchao, Li, Yu, Guan, Xiaole, Chen, Shiyu, Zhao, Shanshan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436550/ https://www.ncbi.nlm.nih.gov/pubmed/36059424 http://dx.doi.org/10.1155/2022/2687615 |
Ejemplares similares
-
Multi-task learning for Chinese clinical named entity recognition with external knowledge
por: Cheng, Ming, et al.
Publicado: (2021) -
A neural network multi-task learning approach to biomedical named entity recognition
por: Crichton, Gamal, et al.
Publicado: (2017) -
Biomedical named entity recognition with the combined feature attention and fully-shared multi-task learning
por: Zhang, Zhiyu, et al.
Publicado: (2022) -
Evaluating Word Representation Features in Biomedical Named Entity Recognition Tasks
por: Tang, Buzhou, et al.
Publicado: (2014) -
Research on named entity recognition method of marine natural products based on attention mechanism
por: Ma, Xiaodong, et al.
Publicado: (2023)