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There have been several attempts to define a plausible motivation for achit-chat dialogue agent that can lead to engaging conversations. In this work,we explore a new direction where the agent specifically focuses on discoveringinformation about its interlocutor. We formalize this approach by defining aquantitative metric. We propose an algorithm for the agent to maximize it. Wevalidate the idea with human evaluation where our system outperforms variousbaselines. We demonstrate that the metric indeed correlates with the humanjudgments of engagingness.

Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner