Relation extraction: advancements through deep learning and entity-related features

Capturing semantics and structure surrounding the target entity pair is crucial for relation extraction. The task is challenging due to the limited semantic elements and structural features of the target entity pair within a sentence. To tackle this problem, this paper introduces an approach that fu...

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Detalles Bibliográficos
Autores principales: Zhao, Youwen, Yuan, Xiangbo, Yuan, Ye, Deng, Shaoxiong, Quan, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256580/
https://www.ncbi.nlm.nih.gov/pubmed/37325108
http://dx.doi.org/10.1007/s13278-023-01095-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256580/
https://www.ncbi.nlm.nih.gov/pubmed/37325108
http://dx.doi.org/10.1007/s13278-023-01095-8

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