For instance,<cite> Monroe et al. (2017)</cite> train context-agnostic (i.e. non-pragmatic) neural network models to learn the meanings of color utterances using a corpus of examples of the form shown in the first line of Table 1 . At evaluation, they add an RSA layer on top of the trained model to draw pragmatic, context-sensitive inferences about intended color referents.