Papers with DebIE
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces (2021.eacl-demos)
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| Challenge: | Recent research has shown that distributional word vector spaces often encode stereotypical human biases, such as racism and sexism. |
| Approach: | They propose a platform that measures and mitigates bias in word embeddings by executing two (mutually composable) debiasing models. |
| Outcome: | The proposed platform can measure and mitiga bias in word embeddings. |