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The Undesirable Dependence on Frequency of Gender Bias Metrics Based on
  Word Embeddings

The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word Embeddings

2 January 2023
Francisco Valentini
Germán Rosati
D. Slezak
Edgar Altszyler
    FaML
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Papers citing "The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word Embeddings"

4 / 4 papers shown
Title
Unraveling Downstream Gender Bias from Large Language Models: A Study on
  AI Educational Writing Assistance
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance
Thiemo Wambsganss
Xiaotian Su
Vinitra Swamy
Seyed Parsa Neshaei
Roman Rietsche
Tanja Käser
31
18
0
06 Nov 2023
Sociodemographic Bias in Language Models: A Survey and Forward Path
Sociodemographic Bias in Language Models: A Survey and Forward Path
Vipul Gupta
Pranav Narayanan Venkit
Shomir Wilson
R. Passonneau
50
22
0
13 Jun 2023
Investigating the Frequency Distortion of Word Embeddings and Its Impact
  on Bias Metrics
Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias Metrics
Francisco Valentini
Juan Cruz Sosa
D. Slezak
Edgar Altszyler
22
3
0
15 Nov 2022
On the Interpretability and Significance of Bias Metrics in Texts: a
  PMI-based Approach
On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach
Francisco Valentini
Germán Rosati
Damián E. Blasi
D. Slezak
Edgar Altszyler
22
3
0
13 Apr 2021
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