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Evaluating Metrics for Bias in Word Embeddings

Evaluating Metrics for Bias in Word Embeddings

15 November 2021
Sarah Schröder
Alexander Schulz
Philip Kenneweg
Robert Feldhans
Fabian Hinder
Barbara Hammer
ArXivPDFHTML

Papers citing "Evaluating Metrics for Bias in Word Embeddings"

3 / 3 papers shown
Title
No Word Embedding Model Is Perfect: Evaluating the Representation
  Accuracy for Social Bias in the Media
No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media
Maximilian Spliethover
Maximilian Keiff
Henning Wachsmuth
21
4
0
07 Nov 2022
Trans-Encoder: Unsupervised sentence-pair modelling through self- and
  mutual-distillations
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
Fangyu Liu
Yunlong Jiao
Jordan Massiah
Emine Yilmaz
Serhii Havrylov
SSL
87
29
0
27 Sep 2021
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
230
31,253
0
16 Jan 2013
1