StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes

Analyzing ethnic or religious bias is important for improving fairness, accountability, and transparency of natural language processing models. However, many techniques rely on human-compiled lists of bias terms, which are expensive to create and are limited in coverage. In this study, we present a...

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Bibliographic Details
Published inarXiv.org
Main Authors Deshpande, Awantee, Ruiter, Dana, Mosbach, Marius, Klakow, Dietrich
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 27.05.2022
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