Dictionary-based Debiasing of Pre-trained Word Embeddings

23 January 2021

Papers citing "Dictionary-based Debiasing of Pre-trained Word Embeddings"

10 / 10 papers shown

Title
Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting Masahiro Kaneko Danushka Bollegala Naoaki Okazaki Timothy Baldwin LRM 34 27 0 28 Jan 2024
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach Masahiro Kaneko Graham Neubig Naoaki Okazaki 33 6 0 19 May 2023
Addressing Biases in the Texts using an End-to-End Pipeline Approach Shaina Raza Syed Raza Bashir Sneha Urooj Qamar 38 0 0 13 Mar 2023
Choose Your Lenses: Flaws in Gender Bias Evaluation Hadas Orgad Yonatan Belinkov 27 35 0 20 Oct 2022
Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks Masahiro Kaneko Danushka Bollegala Naoaki Okazaki 18 41 0 06 Oct 2022
A methodology to characterize bias and harmful stereotypes in natural language processing in Latin America Laura Alonso Alemany Luciana Benotti Hernán Maina Lucía González Mariela Rajngewerc ... Guido Ivetta Alexia Halvorsen Amanda Rojo M. Bordone Beatriz Busaniche 24 3 0 14 Jul 2022
1Cademy at Semeval-2022 Task 1: Investigating the Effectiveness of Multilingual, Multitask, and Language-Agnostic Tricks for the Reverse Dictionary Task Zhiyong Wang Ge Zhang Nineli Lashkarashvili 16 3 0 08 Jun 2022
A Survey on Gender Bias in Natural Language Processing Karolina Stañczak Isabelle Augenstein 28 109 0 28 Dec 2021
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 211 616 0 03 Sep 2019
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014