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🦜Code for paper: "COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP" (ACL 2023 Findings)

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# :parrot: COCKATIEL (ACL 2023)

This repository contains code for the paper:

*COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP*, Fanny Jourdan*, Agustin Picard*, Thomas Fel, Laurent Risser, Jean Michel Loubes & Nicholas Asher. Findings of ACL 2023, [[arXiv]](https://arxiv.org/abs/2305.06754).

The code is implemented and available **for Pytorch**. A notebook is available: [notebook example](./example.ipynb).

```
@article{jourdan2023cockatiel,
  title={COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks},
  author={Jourdan, Fanny and Picard, Agustin and Fel, Thomas and Risser, Laurent and Loubes, Jean Michel and Asher, Nicholas},
  journal={arXiv preprint arXiv:2305.06754},
  year={2023}
}
```

# Authors

- Fanny Jourdan - fanny.jourdan@irit.fr, PhD Student, ANITI/IRIT, Paul Sabatier University
- Agustin Picard - agustin-martin.picard@irt-saintexupery.com, Research engineer, IRT Saint Exupery

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