farizikhwantri / e-SNLI

e-SNLI

There are 2 splits for the train set due to the github sie restrictions, please simply merge them.

Trained models can be downloaded at:

• PredictAndExplain: https://drive.google.com/file/d/1w8UlNQ5yvZPNu4RgVkgICB6qsefkjolG/view?usp=sharing
• ExplainThenPredictAttention: https://drive.google.com/file/d/1l7dnml7mDnT72QrwZMmA7VGIsWjVpQT6/view?usp=sharing
• ExplanationsToLabels: https://drive.google.com/file/d/1_rFGlFYHSJ1xqjA2lDjzBvO5mf7INo1A/view?usp=sharing

Dependancies

• Python 2.7
• Pytorch 0.3.1
• NLTK >= 3

Bibtex

If you use this dataset or paper in your work, please cite:

@incollection{NIPS2018_8163,
title = {e-SNLI: Natural Language Inference with Natural Language Explanations},
author = {Camburu, Oana-Maria and Rockt\"{a}schel, Tim and Lukasiewicz, Thomas and Blunsom, Phil},
booktitle = {Advances in Neural Information Processing Systems 31},
editor = {S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett},
pages = {9539--9549},
year = {2018},
publisher = {Curran Associates, Inc.},
url = {http://papers.nips.cc/paper/8163-e-snli-natural-language-inference-with-natural-language-explanations.pdf}
}