# hate-alert/HateXplain

<https://repo.masters-masters.com/en/repos/hate-alert/HateXplain>

[Home](https://repo.masters-masters.com/en) › [hate-alert](https://repo.masters-masters.com/en/owners/hate-alert) › [HateXplain](https://repo.masters-masters.com/en/repos/hate-alert/HateXplain)

hate-alert/HateXplain has 255 stars on GitHub. Its RepoMasters card: Alpha tier. Can we use explanations to improve hate speech models? Our paper accepted at…

| Field | Value |
| --- | --- |
| Owner | [hate-alert](https://repo.masters-masters.com/en/owners/hate-alert) |
| Stars | 255 |
| Forks | 73 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | explainability, hate-speech, bias, offensive, detection, hatespeech, interpretable-deep-learning, bert-model, lstm, attention-lstm |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [hate-alert/HateXplain](https://github.com/hate-alert/HateXplain) |

## Repository

Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.