2 papers
cs.CL2023
Neural Conversation Models and How to Rein Them in: A Survey of Failures and Fixes
Fabian Galetzka, Anne Beyer, David Schlangen
Recent conditional language models are able to continue any kind of text source in an often seemingly fluent way. This fact encouraged research in the area of open-domain conversat…
cs.CL2020
A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Models
Fabian Galetzka, Chukwuemeka U. Eneh, David Schlangen
Fully data driven Chatbots for non-goal oriented dialogues are known to suffer from inconsistent behaviour across their turns, stemming from a general difficulty in controlling par…