Towards Semantic-Awareness for Information Management and Planning in Health Dialogues

Dialogue systems for the health domain are expected to be reliable and to reason in accordance to medical experts' reasoning. Given the complexities of the health domain, these systems are frequently aided by semantic-aware approaches implementing technologies such as ontologies. However, the automated generation of such systems is still a challenging task. In this work, we propose an approach that integrates automated planning and information management with the aim of automating the generation of efficient dialogue managers. Resulting dialogue managers are capable of handling multi-turn goal-oriented dialogue sessions within the healthcare domain. By evaluating a prototype on the asthma domain, our results reveal the suitability of our approach to generate dialogue policies on real-time scenarios.