A mutually-exclusive binary cross tagging framework for joint extraction of entities and relations

Joint extraction from unstructured text aims to extract relational triples composed of entity pairs and their relations. However, most existing works fail to process the overlapping issues that occur when the same entities are utilized to generate different relational triples in a sentence. In this...

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Detalles Bibliográficos
Autores principales: Liu, Xuan, Du, Wanru, Wang, Xiaoyin, Li, Ruiqun, Sun, Pengcheng, Jing, Xiaochuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782540/
https://www.ncbi.nlm.nih.gov/pubmed/35061704
http://dx.doi.org/10.1371/journal.pone.0260426

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782540/
https://www.ncbi.nlm.nih.gov/pubmed/35061704
http://dx.doi.org/10.1371/journal.pone.0260426

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