A Feature Combination-Based Graph Convolutional Neural Network Model for Relation Extraction

A Feature Combination-Based Graph Convolutional Neural Network Model for Relation Extraction

The task to extract relations tries to identify relationships between two named entities in a sentence. Because a sentence usually contains several named entities, capturing structural information of a sentence is important to support this task. Currently, graph neural networks are widely implemente...

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Bibliographic Details
Main Authors: Jinling Xu, Yanping Chen, Yongbin Qin, Ruizhang Huang, Qinghua Zheng
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Symmetry
Subjects:
relation extraction
feature combination
graph neural network
nlp
Online Access:https://www.mdpi.com/2073-8994/13/8/1458

Internet

https://www.mdpi.com/2073-8994/13/8/1458

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