Dual CNN for Relation Extraction with Knowledge-Based Attention and Word Embeddings

Relation extraction is the underlying critical task of textual understanding. However, the existing methods currently have defects in instance selection and lack background knowledge for entity recognition. In this paper, we propose a knowledge-based attention model, which can make full use of super...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jun, Huang, Guimin, Chen, Jianheng, Wang, Yabing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6664687/
https://www.ncbi.nlm.nih.gov/pubmed/31396271
http://dx.doi.org/10.1155/2019/6789520

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6664687/
https://www.ncbi.nlm.nih.gov/pubmed/31396271
http://dx.doi.org/10.1155/2019/6789520

Ejemplares similares