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Bias Detection

5 papers with code · Natural Language Processing

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StereoSet: Measuring stereotypical bias in pretrained language models

20 Apr 2020moinnadeem/StereoSet

Since pretrained language models are trained on large real world data, they are known to capture stereotypical biases.

BIAS DETECTION

Global explanations for discovering bias in data

Preprint 2020 agamiko/gebi

We confirmed that the commonplace black frames in the training dataset images have a strong influence on the Convolutional Neural Network's prediction.

BIAS DETECTION

Global explanations for discovering bias in data

Preprint 2020 agamiko/gebi

We confirmed that the commonplace black frames in the training dataset images have a strong influence on the Convolutional Neural Network's prediction.

BIAS DETECTION

Measuring Gender Bias in Word Embeddings across Domains and Discovering New Gender Bias Word Categories

WS 2019 alfredomg/GeBNLP2019

We find that some domains are definitely more prone to gender bias than others, and that the categories of gender bias present also vary for each set of word embeddings.

BIAS DETECTION GENDER BIAS DETECTION WORD EMBEDDINGS

Towards Detection of Subjective Bias using Contextualized Word Embeddings

16 Feb 2020tanvidadu/Subjective-Bias-Detection

Subjective bias detection is critical for applications like propaganda detection, content recommendation, sentiment analysis, and bias neutralization.

BIAS DETECTION SENTIMENT ANALYSIS WORD EMBEDDINGS