A Joint Learning Model to Extract Entities and Relations for Chinese Literature Based on Self-Attention

Extracting structured information from massive and heterogeneous text is a hot research topic in the field of natural language processing. It includes two key technologies: named entity recognition (NER) and relation extraction (RE). However, previous NER models consider less about the influence of...

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Bibliographic Details
Main Authors: Li-Xin Liang, Lin Lin, E Lin, Wu-Shao Wen, Guo-Yan Huang
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/13/2216