View on GitHub

Deep Learning for Argument Mining

Deep Learning architectures for solving the argument mining tasks.

Download this project as a .zip file Download this project as a tar.gz file

Deep Learning Architectures for Argument Mining Tasks

Deep learning architectures for solving the three major argument mining tasks: argumentative fragment detection, argument component classification, and argumentative relation recognition.

Dataset

The data used are the small version of the decide-madrid-2019 dataset annotated for argument mining tasks.

The corpus is composed of the 40 most controversial proposals, where, collaboratively, the arguments given by citizens in the descriptions and comments of the proposals were searched and annotated.

The first version of this corpus is publicly available in the following repository.

Pretrained Model

The contextualized model in Spanish that we are using is BETO: https://github.com/dccuchile/beto

Documentation

Please read the contributing and code of conduct documentation.

Authors

Created on Sep 19, 2023
Created by:

License

This project is licensed under the terms of the Apache License 2.0.

Acknowledgements

This work was supported by the Spanish Ministry of Science and Innovation (PID2019-108965GB-I00).