Utilizing Entity-Based Gated Convolution and Multilevel Sentence Attention to Improve Distantly Supervised Relation Extraction

Distant supervision is an effective method to automatically collect large-scale datasets for relation extraction (RE). Automatically constructed datasets usually comprise two types of noise: the intrasentence noise and the wrongly labeled noisy sentence. To address issues caused by the above two typ...

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Detalles Bibliográficos
Autores principales: Yi, Qian, Zhang, Guixuan, Zhang, Shuwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575651/
https://www.ncbi.nlm.nih.gov/pubmed/34759966
http://dx.doi.org/10.1155/2021/6110885

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575651/
https://www.ncbi.nlm.nih.gov/pubmed/34759966
http://dx.doi.org/10.1155/2021/6110885

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