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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Veröffentlicht in:	PloS one 2022-01, Vol.17 (1), p.e0260426
Hauptverfasser:	Liu, Xuan, Du, Wanru, Wang, Xiaoyin, Li, Ruiqun, Sun, Pengcheng, Jing, Xiaochuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biology and Life Sciences Classification Computational linguistics Computer and Information Sciences Data mining Data Mining - methods Datasets Humans Language processing Marking Methods Natural language Natural language interfaces Natural Language Processing Neural networks People and places Propagation Semantic relations Semantics Social Sciences Systems science Unstructured data
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