Information Extraction Network Based on Multi-Granularity Attention and Multi-Scale Self-Learning

Transforming the task of information extraction into a machine reading comprehension (MRC) framework has shown promising results. The MRC model takes the context and query as the inputs to the encoder, and the decoder extracts one or more text spans as answers (entities and relationships) from the t...

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Bibliographic Details
Main Authors:	Jian, Z. (Author), Kong, L. (Author), Liu, S. (Author), Liu, Y. (Author), Sun, W. (Author)
Format:	Article
Language:	English
Published:	MDPI 2023
Subjects:	article attention Attention mechanisms Benchmarking Data mining Entity identification entity relationship extraction Entity relationship extraction Entity-relationship extraction Information retrieval learning Learning systems machine reading comprehension Machine reading comprehension multi-grained attention mechanism Multi-grained attention mechanism multi-scale self-learning mechanism Multi-scale self-learning mechanism Multi-scales Named entities Natural language processing systems nested named entity identification Nested named entity identification reading Reading comprehension Relationship extraction Self-learning mechanism Signal encoding
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Information Extraction Network Based on Multi-Granularity Attention and Multi-Scale Self-Learning

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