Latent Variable Dialogue Models And Their Diversity
Kris Cao, Stephen Clark . Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers 2017 – 55 citations
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.