Multi-Gram CNN-Based Self-Attention Model for Relation Classification

Multi-Gram CNN-Based Self-Attention Model for Relation Classification

Relation classification is a crucial ingredient in numerous information-extraction systems and has attracted a great deal of attention in recent years. Traditional approaches largely rely on feature engineering and suffer from the limitations of the domain adaption and the error propagation. To over...

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Bibliographic Details
Main Authors: Chunyun Zhang, Chaoran Cui, Sheng Gao, Xiushan Nie, Weiran Xu, Lu Yang, Xiaoming Xi, Yilong Yin
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Erelation extraction
multi-gram
attention
CNN
RNN
Online Access:https://ieeexplore.ieee.org/document/8580540/

Internet

https://ieeexplore.ieee.org/document/8580540/

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