Reading for gender bias
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Updated
Jun 4, 2022 - Python
Reading for gender bias
Repository containing the open source code of works published at the FBK MT unit.
Scrape news articles and analyze them using NLP to quantify the gender gap in Canadian mainstream media
EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975
A tool for gender bias identification in text. Part of Microsoft's Responsible AI toolbox.
INA's library with pretrained models for gender and age prediction from faces.
Code for the EMNLP 2021 Oral paper "Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search" https://arxiv.org/abs/2109.05433
Literature overview: gender bias in natural language processing
Pruning bias from transformers / NAACL 2022
Code and data for the paper "An Information-Theoretic Approach and Dataset for Probing Gender Stereotypes in Multilingual Masked Language Models" (Findings of NAACL 2022)
Code for the paper "Challenges in Measuring Bias in Open-Ended Language Generation" presented as oral at the 4th Workshop on Gender Bias in NLP at NAACL 2022.
This repository contains the required codes for reproducing the results in "Gender Bias in Legal Texts and Debiasing It" which is published in Natural Language Engineering journal.
A website that visualises how text embeddings trained on Google News are biased towards gender. It also functions as an open source database to generate text embeddings .
[ICCV 2019] Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
Interpseech 2024 - News Topic classification (dataset, evaluation and models source)
Reproduction of Evaluating Gender Bias in Machine Translation Gabriel Stanovsky, Noah A. Smith, and Luke Zettlemoyer, (ACL 2019) - University Project
Short project that uses kmeans to build cluster of word embeddings from Chilean news about femicide
Source code for the paper "Hypers at ComMA@ICON: Modelling Aggressiveness, Gender Bias and Communal Bias Identification"
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