S
Stephen Denuyl
Researcher at Google
Publications - 3
Citations - 227
Stephen Denuyl is an academic researcher from Google. The author has contributed to research in topics: Sentiment analysis. The author has an hindex of 3, co-authored 3 publications receiving 97 citations.
Papers
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Proceedings ArticleDOI
Social Biases in NLP Models as Barriers for Persons with Disabilities
TL;DR: In this paper, the authors present evidence of such undesirable biases towards mentions of disability in two different English language models: toxicity prediction and sentiment analysis, and highlight topical biases in the discourse about disability which may contribute to the observed model biases.
Journal ArticleDOI
Unintended machine learning biases as social barriers for persons with disabilitiess
TL;DR: It is demonstrated that a machine-learned model to moderate conversations classifies texts which mention disability as more "toxic", and that neural text representation models that are critical to many ML applications can also contain undesirable biases towards mentions of disabilities.
Posted Content
Social Biases in NLP Models as Barriers for Persons with Disabilities
TL;DR: Evidence of undesirable biases towards mentions of disability in two different English language models: toxicity prediction and sentiment analysis is presented and it is demonstrated that the neural embeddings that are the critical first step in most NLP pipelines similarly contain undesirable biases.