https://github.com/tech-srl/counting_dimensions
demonstration for our ACL 2018 paper, "On the Practical Computational Power of Finite Precision RNNs for Language Recognition"
https://github.com/tech-srl/counting_dimensions
Last synced: about 1 year ago
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demonstration for our ACL 2018 paper, "On the Practical Computational Power of Finite Precision RNNs for Language Recognition"
- Host: GitHub
- URL: https://github.com/tech-srl/counting_dimensions
- Owner: tech-srl
- Created: 2018-07-17T18:48:44.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2019-05-26T08:42:29.000Z (about 7 years ago)
- Last Synced: 2025-03-27T23:33:06.104Z (about 1 year ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 231 KB
- Stars: 11
- Watchers: 5
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# ACL support repository
This is a simple repository to host files for the following google colab notebook: https://drive.google.com/file/d/1Ya4Dhih8JU-do9t4gcxkU4pgb9Gm8dmo/view?usp=sharing (though you can also just clone the repository and run the notebook in it on your own computer :) )
The notebook is a demonstration of the results of our paper, "On the Practical Computational Power of Finite Precision RNNs for Language Recognition". It holds 4 pretrained networks: the languages $a^nb^n$ and $a^nb^nc^n$, on LSTM and GRU networks. You can also train your own networks.
### Citation
You can cite this work using:
@InProceedings{P18-2117,
author = "Weiss, Gail
and Goldberg, Yoav
and Yahav, Eran",
title = "On the Practical Computational Power of Finite Precision RNNs for Language Recognition",
booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
year = "2018",
publisher = "Association for Computational Linguistics",
pages = "740--745",
location = "Melbourne, Australia",
url = "http://aclweb.org/anthology/P18-2117"
}