A Contextual Dependency-Aware Graph Convolutional Network for extracting entity relations-Reference-Cited by-同舟云学术

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A Contextual Dependency-Aware Graph Convolutional Network for extracting entity relations

Published:2024-04 Issue: Volume:239 Page:122366
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Liao Jiahui^ORCID,Du Yajun^ORCID,Hu Jinrong^ORCID,Li Hui^ORCID,Li Xianyong^ORCID,Chen Xiaoliang^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference65 articles.

1. Layer normalization;Ba,2016

2. Bidirectional recurrent convolutional neural network for relation classification;Cai,2016

3. A walk-based model on entity graphs for relation extraction;Christopoulou,2018

4. Refining sample embeddings with relation prototypes to enhance continual relation extraction;Cui,2021

5. Knowledge neurons in pretrained transformers;Dai,2022

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1. Dual-enhanced generative model with graph attention network and contrastive learning for aspect sentiment triplet extraction;Knowledge-Based Systems;2024-10

2. Graph Convolutional Networks Embedding Textual Structure Information for Relation Extraction;Computers, Materials & Continua;2024

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