dccuchile/wefe
WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!
PythonMIT
Issues
- 4
Missing WEAT words
#52 opened by kato8966 - 2
- 2
Is this tool no longer being maintained?
#58 opened by zhimin-z - 2
Support gensim 4
#9 opened by raffaem - 2
Error on import in Google Colab (v0.3.2) with PL
#26 opened by abdu355 - 3
Issue with RIPA metric
#41 opened by h4c5 - 5
How to reproduce table 1 as in the paper?
#23 opened by liaocs2008 - 3
- 2
- 3
- 4
WEAT returns nothing
#21 opened by raffaem - 10
word_embedding not found under wefe
#18 opened by harshvr15 - 2
Problem with the library typing
#12 opened by Mezosky - 1
- 1
RNSB Error
#17 opened by raffaem - 1
Metrics not discussed in the paper
#14 opened by raffaem - 1
RNSB Deprecation Warning
#16 opened by raffaem - 4
WEAT p-value is nan
#15 opened by raffaem - 4
WEAT effect size: Different values
#11 opened by santoshbs - 8
[Question] One-sided p-value for WEAT?
#8 opened by santoshbs - 8
Questions RNSB metric
#5 opened by elaisa91 - 2
Import error: cannot import name 'BaseKeyedVectors' from 'gensim.models.keyedvectors'
#7 opened by santoshbs - 3
class wefe.WordEmbeddingModel with gensim.models.keyedvectors.FastTextKeyedVectors
#1 opened by elaisa91