Speedy Word Embedding Association Test and Extras Using R
Calculate the effect size of a query
Embedding Coherence Test
Calculate the Spearman Coefficient of an ECT result
Mean average cosine similarity
Calculation of MAC Effect Size
Calculate Normalized Association Score
Visualize the bias of words in S
Plot an ECT result on a two-dimensional plane
A common interface for making query
A helper function for reading word2vec format
Relative Norm Distance
Calculation of sum of all relative norm distances
Relative Negative Sentiment Bias
Calculation the Kullback-Leibler divergence
Characterise word semantics using the SemAxis framework
Speedy Word Embedding Association Test
Calculation of WEAT effect size
Test of significance for WEAT
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>.