A Relational Adaptive Neural Model for Joint Entity and Relation Extraction

A Relational Adaptive Neural Model for Joint Entity and Relation Extraction

Relation extraction is a popular subtask in natural language processing (NLP). In the task of entity relation joint extraction, overlapping entities and multi-type relation extraction in overlapping triplets remain a challenging problem. The classification of relations by sharing the same probabilit...

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Bibliographic Details
Main Authors:	Guiduo Duan, Jiayu Miao, Tianxi Huang, Wenlong Luo, Dekun Hu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-03-01
Series:	Frontiers in Neurorobotics
Subjects:	entity relation joint extraction overlapping triplets detection DCGCN relational-adaptive mechanism graph convolutional networks
Online Access:	https://www.frontiersin.org/articles/10.3389/fnbot.2021.635492/full

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