rnsb_es

This function calculates the Kullback-Leibler divergence of the predicted negative probabilities, P, from the uniform distribution. If possible, please use <code>calculate_es()</code> instead.

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>.

Chung-hong Chan

sweater

Speedy Word Embedding Association Test and Extras Using R

rnsb_es function

<dl><dt>x</dt>
<dd>an rnsb object from the rnsb function.</dd></dl>

Arguments

Calculation the Kullback-Leibler divergence — rnsb_es

<dl>

<dt>x</dt>
<dd>an rnsb object from the rnsb function.</dd>

</dl>

rnsb_es: Calculation the Kullback-Leibler divergence

Description

Usage

Value

Arguments

References