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Disentangling Dialect from Social Bias via Multitask Learning to Improve
  Fairness

Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness

14 June 2024
Maximilian Spliethover
Sai Nikhil Menon
Henning Wachsmuth
ArXivPDFHTML

Papers citing "Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness"

4 / 4 papers shown
Title
Quantifying the Dialect Gap and its Correlates Across Languages
Quantifying the Dialect Gap and its Correlates Across Languages
Anjali Kantharuban
Ivan Vulić
Anna Korhonen
57
19
0
23 Oct 2023
Fine-tuned Language Models are Continual Learners
Fine-tuned Language Models are Continual Learners
Thomas Scialom
Tuhin Chakrabarty
Smaranda Muresan
CLL
LRM
134
116
0
24 May 2022
Mitigating Racial Biases in Toxic Language Detection with an
  Equity-Based Ensemble Framework
Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework
Matan Halevy
Camille Harris
A. Bruckman
Diyi Yang
A. Howard
34
35
0
27 Sep 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
1