File size: 977 Bytes
31dd02c f41c3f6 0b1f0b7 e8aa684 0b1f0b7 f41c3f6 0b1f0b7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 |
---
dataset:
-hatexplain
---
The model is used for classifying a text as **Hatespeech**, **Offensive**, or **Normal**. The model is trained using data from Gab and Twitter and *Human Rationales* were included as part of the training data to boost the performance.
The dataset and models are available here: https://github.com/punyajoy/HateXplain
**For more details about our paper**
Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, and Animesh Mukherjee "[HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection)". Accepted at AAAI 2021.
***Please cite our paper in any published work that uses any of these resources.***
~~~
@article{mathew2020hatexplain,
title={HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection},
author={Mathew, Binny and Saha, Punyajoy and Yimam, Seid Muhie and Biemann, Chris and Goyal, Pawan and Mukherjee, Animesh},
journal={arXiv preprint arXiv:2012.10289},
year={2020}
}
~~~
|