RTJTN: Relational Triplet Joint Tagging Network for Joint Entity and Relation Extraction

Extracting entities and relations from unstructured sentences is one of the most concerned tasks in the field of natural language processing. However, most existing works process entity and relation information in a certain order and suffer from the error iteration. In this paper, we introduce a rel...

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Detalles Bibliográficos
Autores principales: Yang, Zhenyu, Wang, Lei, Ma, Bo, Yang, Yating, Dong, Rui, Wang, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541843/
https://www.ncbi.nlm.nih.gov/pubmed/34697539
http://dx.doi.org/10.1155/2021/3447473

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541843/
https://www.ncbi.nlm.nih.gov/pubmed/34697539
http://dx.doi.org/10.1155/2021/3447473

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