Abstract
Although automatic text summarization (ATS) has been researched for several decades, the application of graph neural networks (GNNs) to this task started relatively recently. In this survey we provide an overview on the rapidly evolving approach of using GNNs for the task of automatic text summarization. In particular we provide detailed information on the functionality of GNNs in the context of ATS, and a comprehensive overview of models utilizing this approach.- Anthology ID:
- 2022.coling-1.536
- Volume:
- Proceedings of the 29th International Conference on Computational Linguistics
- Month:
- October
- Year:
- 2022
- Address:
- Gyeongju, Republic of Korea
- Editors:
- Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na
- Venue:
- COLING
- SIG:
- Publisher:
- International Committee on Computational Linguistics
- Note:
- Pages:
- 6139–6150
- Language:
- URL:
- https://aclanthology.org/2022.coling-1.536
- DOI:
- Bibkey:
- Cite (ACL):
- Marco Ferdinand Salchner and Adam Jatowt. 2022. A Survey of Automatic Text Summarization Using Graph Neural Networks. In Proceedings of the 29th International Conference on Computational Linguistics, pages 6139–6150, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
- Cite (Informal):
- A Survey of Automatic Text Summarization Using Graph Neural Networks (Salchner & Jatowt, COLING 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.coling-1.536.pdf
Export citation
@inproceedings{salchner-jatowt-2022-survey,
title = "A Survey of Automatic Text Summarization Using Graph Neural Networks",
author = "Salchner, Marco Ferdinand and
Jatowt, Adam",
editor = "Calzolari, Nicoletta and
Huang, Chu-Ren and
Kim, Hansaem and
Pustejovsky, James and
Wanner, Leo and
Choi, Key-Sun and
Ryu, Pum-Mo and
Chen, Hsin-Hsi and
Donatelli, Lucia and
Ji, Heng and
Kurohashi, Sadao and
Paggio, Patrizia and
Xue, Nianwen and
Kim, Seokhwan and
Hahm, Younggyun and
He, Zhong and
Lee, Tony Kyungil and
Santus, Enrico and
Bond, Francis and
Na, Seung-Hoon",
booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2022.coling-1.536",
pages = "6139--6150",
abstract = "Although automatic text summarization (ATS) has been researched for several decades, the application of graph neural networks (GNNs) to this task started relatively recently. In this survey we provide an overview on the rapidly evolving approach of using GNNs for the task of automatic text summarization. In particular we provide detailed information on the functionality of GNNs in the context of ATS, and a comprehensive overview of models utilizing this approach.",
}
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%0 Conference Proceedings %T A Survey of Automatic Text Summarization Using Graph Neural Networks %A Salchner, Marco Ferdinand %A Jatowt, Adam %Y Calzolari, Nicoletta %Y Huang, Chu-Ren %Y Kim, Hansaem %Y Pustejovsky, James %Y Wanner, Leo %Y Choi, Key-Sun %Y Ryu, Pum-Mo %Y Chen, Hsin-Hsi %Y Donatelli, Lucia %Y Ji, Heng %Y Kurohashi, Sadao %Y Paggio, Patrizia %Y Xue, Nianwen %Y Kim, Seokhwan %Y Hahm, Younggyun %Y He, Zhong %Y Lee, Tony Kyungil %Y Santus, Enrico %Y Bond, Francis %Y Na, Seung-Hoon %S Proceedings of the 29th International Conference on Computational Linguistics %D 2022 %8 October %I International Committee on Computational Linguistics %C Gyeongju, Republic of Korea %F salchner-jatowt-2022-survey %X Although automatic text summarization (ATS) has been researched for several decades, the application of graph neural networks (GNNs) to this task started relatively recently. In this survey we provide an overview on the rapidly evolving approach of using GNNs for the task of automatic text summarization. In particular we provide detailed information on the functionality of GNNs in the context of ATS, and a comprehensive overview of models utilizing this approach. %U https://aclanthology.org/2022.coling-1.536 %P 6139-6150
Markdown (Informal)
[A Survey of Automatic Text Summarization Using Graph Neural Networks](https://aclanthology.org/2022.coling-1.536) (Salchner & Jatowt, COLING 2022)
- A Survey of Automatic Text Summarization Using Graph Neural Networks (Salchner & Jatowt, COLING 2022)
ACL
- Marco Ferdinand Salchner and Adam Jatowt. 2022. A Survey of Automatic Text Summarization Using Graph Neural Networks. In Proceedings of the 29th International Conference on Computational Linguistics, pages 6139–6150, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.