Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks-Reference-Cited by-同舟云学术

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Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th International Conference on Computational Linguistics
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Author:

Cui Peng,Hu Le,Liu Yuanchao

Publisher

International Committee on Computational Linguistics

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HGNN-T5 PEGASUS: A Hybrid Approach for Chinese Long Text Summarization;Computer Supported Cooperative Work and Social Computing;2024

2. A Comparative Survey of Text Summarization Techniques;SN Computer Science;2023-12-02

3. Enhancing LSTM and Fusing Articles of Law for Legal Text Summarization;Communications in Computer and Information Science;2023-11-27

4. FHSI-GNN: Fusion Hierarchical Structure Information Graph Neural Network for Extractive Long Documents Summarization;Communications in Computer and Information Science;2023-11-26

5. Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

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