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Construction and Application of Text Entity Relation Joint Extraction Model Based on Multi-Head Attention Neural Network
2022
Computational Intelligence and Neuroscience
Entity relationship extraction is one of the key areas of information extraction and is an important research content in the field of natural language processing. Based on past research, this paper proposes a combined extraction model based on a multi-headed attention neural network. Based on the BERT training model architecture, this paper extracts textual entities and relations tasks. At the same time, it integrates the naming entity feature, the terminology labeling characteristics, and the
doi:10.1155/2022/1530295
pmid:35655501
pmcid:PMC9155959
fatcat:ch24cpgqsvarnbyd24nqsvenjy