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Conduct various tests for evaluating implicit biases in word embeddings: Word Embedding Association Test (Caliskan et al., 2017), <doi:10.1126/science.aal4230>, Relative Norm Distance (Garg et al., 2018), <doi:10.1073/pnas.1720347115>, Mean Average Cosine Similarity (Mazini et al., 2019) <arXiv:1904.04047>, SemAxis (An et al., 2018) <arXiv:1806.05521>, Relative Negative Sentiment Bias (Sweeney & Najafian, 2019) <doi:10.18653/v1/P19-1162>, and Embedding Coherence Test (Dev & Phillips, 2019) <arXiv:1901.07656>.
Package details |
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Author | Chung-hong Chan [aut, cre] (<https://orcid.org/0000-0002-6232-7530>) |
Maintainer | Chung-hong Chan <chainsawtiney@gmail.com> |
License | GPL (>= 3) |
Version | 0.1.8 |
URL | https://github.com/gesistsa/sweater |
Package repository | View on CRAN |
Installation |
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