2 papers
cs.CL2020
Defining and Evaluating Fair Natural Language Generation
Catherine Yeo, Alyssa Chen
Our work focuses on the biases that emerge in the natural language generation (NLG) task of sentence completion. In this paper, we introduce a framework of fairness for NLG followe…
cs.HC2020
Convo: What does conversational programming need? An exploration of machine learning interface design
Jessica Van Brummelen, Kevin Weng, Phoebe Lin +1
Vast improvements in natural language understanding and speech recognition have paved the way for conversational interaction with computers. While conversational agents have often…