A Graph Convolutional Network With Multiple Dependency Representations for Relation Extraction

A Graph Convolutional Network With Multiple Dependency Representations for Relation Extraction

Dependency analysis can assist neural networks to capture semantic features within a sentence for entity relation extraction (RE). Both hard and soft strategies of encoding dependency tree structure have been developed to balance the beneficial extra information against the unfavorable interference...

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Bibliographic Details
Main Authors: Yanfeng Hu, Hong Shen, Wuling Liu, Fei Min, Xue Qiao, Kangrong Jin
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Graph convolutional network
relation extraction
syntactic dependency tree
Online Access:https://ieeexplore.ieee.org/document/9446853/

Internet

https://ieeexplore.ieee.org/document/9446853/

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