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Fairness for Text Classification Tasks with Identity Information Data
  Augmentation Methods

Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods

4 February 2022
Mohit Wadhwa
Mohan Bhambhani
Ashvini Jindal
Uma Sawant
Ramanujam Madhavan
ArXivPDFHTML

Papers citing "Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods"

6 / 6 papers shown
Title
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration
Karina Halevy
Karly Hou
Charumathi Badrinath
82
0
0
13 Dec 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models
Addressing Both Statistical and Causal Gender Fairness in NLP Models
Hannah Chen
Yangfeng Ji
David E. Evans
28
2
0
30 Mar 2024
Evaluation Metrics for Text Data Augmentation in NLP
Evaluation Metrics for Text Data Augmentation in NLP
Marcellus Amadeus
William Alberto Cruz Castañeda
38
1
0
09 Feb 2024
TIDE: Textual Identity Detection for Evaluating and Augmenting
  Classification and Language Models
TIDE: Textual Identity Detection for Evaluating and Augmenting Classification and Language Models
Emmanuel Klu
Sameer Sethi
36
0
0
07 Sep 2023
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
267
13,368
0
25 Aug 2014
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
293
31,267
0
16 Jan 2013
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