Dialogue Strategy Learning in Healthcare: A Systematic Approach for Learning Dialogue Models from Data
Hamidreza Chinaei, Brahim Chaib-draa · 2014
We aim to build dialogue agents that op-timize the dialogue strategy, specifically through learning the dialogue model com-ponents from dialogue data. In this paper, we describe our current research on au-tomatically learning dialogue strategies in the healthcare domain. We go through our systematic approach of learning dialogue model components from data, specifically user intents and the user model, as well as the agent reward function. We demon-strate our experiments on healthcare data from which we learned the dialogue model components. We conclude by describ-ing our current research for automatically learning dialogue features that can be used in representing dialogue states and learn-ing the reward function. 1