In this paper we propose a novel methodology to address the aforementioned problems by synthetically creating conversation datasets with peculiar characteristics.
we focus on (i) scalable and portable approaches for generating dialogues from scratch involving complex and structured knowledge, and (ii) strategies for isolating and evaluating specific reasoning capabilities of neural architectures using synthetic challenge sets.