collaborators

1 paper

cs.CL2022

Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching

Alissa Ostapenko, Shuly Wintner, Melinda Fricke +1

Natural language processing (NLP) models trained on people-generated data can be unreliable because, without any constraints, they can learn from spurious correlations that are not…