Gender Bias in Coreference Resolution

04/25/2018
by   Rachel Rudinger, et al.
0

We present an empirical study of gender bias in coreference resolution systems. We first introduce a novel, Winograd schema-style set of minimal pair sentences that differ only by pronoun gender. With these "Winogender schemas," we evaluate and confirm systematic gender bias in three publicly-available coreference resolution systems, and correlate this bias with real-world and textual gender statistics.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/08/2021

Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation

Recent works have found evidence of gender bias in models of machine tra...
research
04/18/2018

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

We introduce a new benchmark, WinoBias, for coreference resolution focus...
research
09/28/2021

Second Order WinoBias (SoWinoBias) Test Set for Latent Gender Bias Detection in Coreference Resolution

We observe an instance of gender-induced bias in a downstream applicatio...
research
10/30/2019

Toward Gender-Inclusive Coreference Resolution

Correctly resolving textual mentions of people fundamentally entails mak...
research
06/17/2022

Reviewer Preferences and Gender Disparities in Aesthetic Judgments

Aesthetic preferences are considered highly subjective resulting in inhe...
research
10/15/2021

Detecting Gender Bias in Transformer-based Models: A Case Study on BERT

In this paper, we propose a novel gender bias detection method by utiliz...
research
09/08/2019

What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring

Although systematic biases in decision-making are widely documented, the...

Please sign up or login with your details

Forgot password? Click here to reset