Joint relational triple extraction based on potential relation detection and conditional entity mapping

• Published in: Applied intelligence (Dordrecht, Netherlands) Vol. 53; no. 24; pp. 29656 - 29676
• Main Authors: Zhou, Xiong, Zhang, Qinghua, Gao, Man, Wang, Guoyin
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.12.2023; Springer Nature B.V
• Subjects: Artificial Intelligence; Computer Science; Information retrieval; Knowledge representation; Machines; Manufacturing; Mapping; Mechanical Engineering; Modules; Processes; Semantic relations; Semantics; Sentences; Teaching methods; Words (language); Entity mapping; Joint relational triple extraction; Conditional layer normalization; Potential relation detection

Joint relational triple extraction treats entity recognition and relation extraction as a joint task to extract relational triples, and this is a critical task in information extraction and knowledge graph construction. However, most existing joint models still fall short in terms of extracting over...