Latent Variable Dialogue Models and their Diversity

02/20/2017
by   Kris Cao, et al.
0

We present a dialogue generation model that directly captures the variability in possible responses to a given input, which reduces the `boring output' issue of deterministic dialogue models. Experiments show that our model generates more diverse outputs than baseline models, and also generates more consistently acceptable output than sampling from a deterministic encoder-decoder model.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset