hate-alert / HateXplain

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

Date Created 2020-05-01 (4 years ago)

Commits 92 (last one 2 years ago)

Stargazers 186 (0 this week)

Watchers 7 (0 this week)

Forks 64

License mit

Ranking

RepositoryStats indexes 564,918 repositories, of these hate-alert/HateXplain is ranked #183,995 (67th percentile) for total stargazers, and #265,381 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #32,493/111,200.

hate-alert/HateXplain is also tagged with popular topics, for these it's ranked: detection (#222/437)

Other Information

hate-alert/HateXplain has 4 open pull requests on Github, 1 pull request has been merged over the lifetime of the repository.

Github issues are enabled, there are 7 open issues and 11 closed issues.

All Topics

bias lstm detection offensive bert-model hatespeech hate-speech attention-lstm explainability bert-fine-tuning interpretable-deep-learning

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6 commits on the default branch (master) since jan '22

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updated: 2024-09-23 @ 02:21am, id: 260395691 / R_kgDOD4VSqw