https://github.com/neulab/guided_summarization

GSum: A General Framework for Guided Neural Abstractive Summarization
https://github.com/neulab/guided_summarization

text-summarization

Last synced: 9 months ago
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GSum: A General Framework for Guided Neural Abstractive Summarization

• Host: GitHub
• URL: https://github.com/neulab/guided_summarization
• Owner: neulab
• License: mit
• Created: 2020-08-20T17:51:16.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2021-06-17T16:31:58.000Z (about 5 years ago)
• Last Synced: 2025-04-13T11:34:39.570Z (about 1 year ago)
• Topics: text-summarization
• Language: Python
• Homepage:
• Size: 633 KB
• Stars: 116
• Watchers: 3
• Forks: 27
• Open Issues: 23
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
Implementations of our [paper](https://arxiv.org/abs/2010.08014) `GSum: A General Framework for Guided Neural Abstractive Summarization`. 

### Code

The `bart` and `bert` repos contain code and documentations for BART- and BERT-based models respectively.

The `scripts` repo contains some helper functions for extracting the guidance signals.

### Citation

```

@inproceedings{dou2021gsum,

  title={GSum: A General Framework for Guided Neural Abstractive Summarization},

  author={Dou, Zi-Yi and Liu, Pengfei and Hayashi, Hiroaki and Jiang, Zhengbao and Neubig, Graham},

  booktitle={Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)},

  year={2021}

}

```