https://github.com/congyingxia/ZeroShotCapsule

Code for Paper "Zero-shot User Intent Detection via Capsule Neural Networks".
https://github.com/congyingxia/ZeroShotCapsule

Last synced: about 5 hours ago
JSON representation

Code for Paper "Zero-shot User Intent Detection via Capsule Neural Networks".

• Host: GitHub
• URL: https://github.com/congyingxia/ZeroShotCapsule
• Owner: congyingxia
• Created: 2018-11-01T04:21:12.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-04-08T20:47:58.000Z (over 5 years ago)
• Last Synced: 2024-08-02T13:27:08.047Z (3 months ago)
• Language: Python
• Homepage:
• Size: 10.1 MB
• Stars: 51
• Watchers: 4
• Forks: 6
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Zero-shot User Intent Detection via Capsule Neural Networks

This repository implements a capsule model named IntentCapsNet-ZSL on the SNIPS-NLU dataset with Tensorflow.

Please see the following paper for the details:

Congying Xia*, Chenwei Zhang*, Xiaohui Yan, Yi Chang, Philip S. Yu. Zero-shot User

Intent Detection via Capsule Neural Networks. In Proceedings of the 2018 Conference on

Empirical Methods in Natural Language Processing (EMNLP), 2018. (* equally contributed)

https://arxiv.org/abs/1809.00385 

# Requirements

Python 2.7.12

Tensorflow 1.6.0

Numpy

Gensim

Sklearn

# Usage

```

python main.py

```

If you find our code useful, please cite our paper.

```

@article{xia2018zero,

  title={Zero-shot User Intent Detection via Capsule Neural Networks},

  author={Xia, Congying and Zhang, Chenwei and Yan, Xiaohui and Chang, Yi and Yu, Philip S},

  journal={arXiv preprint arXiv:1809.00385},  

  year={2018}

}

```

# Pytorch Version

A pytorch version can be found here: https://github.com/nhhoang96/ZeroShotCapsule-PyTorch- 

Thanks to Hoang Nguyen @nhhoang96.

# Acknowledgements

https://github.com/soskek/dynamic_routing_between_capsules

https://github.com/flrngel/Self-Attentive-tensorflow