Catherine Yeo author Alyssa Chen author 2020-jul text Association for Computational Linguistics Seattle, USA conference publication Our work focuses on the biases that emerge in the natural language generation (NLG) task of sentence completion. In this paper, we introduce a mathematical framework of fairness for NLG followed by an evaluation of gender biases in two state-of-the-art language models. Our analysis provides a theoretical formulation for biases in NLG and empirical evidence that existing language generation models embed gender bias. yeo-chen-2020-defining 2020-jul 107 109