Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner
arXiv:1808.07104
Abstract
There have been several attempts to define a plausible motivation for a chit-chat dialogue agent that can lead to engaging conversations. In this work, we explore a new direction where the agent specifically focuses on discovering information about its interlocutor. We formalize this approach by defining a quantitative metric. We propose an algorithm for the agent to maximize it. We validate the idea with human evaluation where our system outperforms various baselines. We demonstrate that the metric indeed correlates with the human judgments of engagingness.
To appear in the proceedings of Conference on Computational Natural Language Learning, CoNLL 2018
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