A Single Attention-Based Combination of CNN and RNN for Relation Classification

A Single Attention-Based Combination of CNN and RNN for Relation Classification

As a vital task in natural language processing, relation classification aims to identify relation types between entities from texts. In this paper, we propose a novel Att-RCNN model to extract text features and classify relations by combining recurrent neural network (RNN) and convolutional neural n...

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Bibliographic Details
Main Authors: Xiaoyu Guo, Hui Zhang, Haijun Yang, Lianyuan Xu, Zhiwen Ye
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Relation classification
neural network
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/8606107/

Internet

https://ieeexplore.ieee.org/document/8606107/

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