Web: http://arxiv.org/abs/2209.06687

Sept. 15, 2022, 1:14 a.m. | Venkata S Govindarajan, Katherine Atwell, Barea Sinno, Malihe Alikhani, David I. Beaver, Junyi Jessy Li

cs.CL updates on arXiv.org arxiv.org

The ability of language to perpetuate inequality is most evident when
individuals refer to, or talk about, other individuals in their utterances.
While current studies of bias in NLP rely mainly on identifying hate speech or
bias towards a specific group, we believe we can reach a more subtle and
nuanced understanding of the interaction between bias and language use by
modeling the speaker, the text, and the target in the text. In this paper, we
introduce a dataset of …

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