Skip to content

joestacey/robust-nli

Repository files navigation

robust-nli

Description

This is the code for the paper Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training.

Authors: Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel

Link: https://arxiv.org/abs/2004.07790

This code was based on the hypothesis-only-NLI code provided by Adam Poliak: https://github.com/azpoliak/hypothesis-only-NLI

Contact: j.stacey20@imperial.ac.uk

Requirements

All code in the repo relies on pytho2.7. Running pip install -r requirements.txt from the root of the project will install the required python packages.

This project relies on pytorch.

About

No description, website, or topics provided.

Resources

License

Code of conduct

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published