https://github.com/BinbinBian/neural-summary-tensorflow

TensorFlow implementation of "A Neural Attention Model for Abstractive Summarization" (in progress)
https://github.com/BinbinBian/neural-summary-tensorflow

Last synced: 20 days ago
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TensorFlow implementation of "A Neural Attention Model for Abstractive Summarization" (in progress)

• Host: GitHub
• URL: https://github.com/BinbinBian/neural-summary-tensorflow
• Owner: BinbinBian
• Fork: true (carpedm20/neural-summary-tensorflow)
• Created: 2016-06-25T07:08:44.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2016-02-13T16:59:14.000Z (about 10 years ago)
• Last Synced: 2023-03-02T08:56:58.061Z (about 3 years ago)
• Language: Python
• Homepage:
• Size: 348 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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• Awesome-Code - A Neural Attention Model for Abstractive Summarization

README

          
Attention-Based Summarization

=============================

Tensorflow implementation of [A Neural Attention Model for Abstractive Summarization](http://arxiv.org/abs/1509.00685). The original code of author can be found [here](https://github.com/facebook/NAMAS).

![model_demo](./assets/model_demo.png)

Prerequisites

-------------

- Python 2.7 or Python 3.3+

- [Tensorflow](https://www.tensorflow.org/)

- [Gensim](https://www.tensorflow.org/)

Usage

-----

To train a model with `duc2013` dataset:

    $ python main.py --dataset duc2013

To test an existing model:

    $ python main.py --dataset duc2014 --forward_only True

(This is still in progress and currently have no access to summarization dataset)

References

----------

- [EMNLP 2015 slide](http://people.seas.harvard.edu/~srush/emnlp2015_slides.pdf)

Author

------

Taehoon Kim / [@carpedm20](http://carpedm20.github.io/)