Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner
August 21, 2018 Β· Declared Dead Β· π Conference on Computational Natural Language Learning
"No code URL or promise found in abstract"
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Authors
Yury Zemlyanskiy, Fei Sha
arXiv ID
1808.07104
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CL
Citations
20
Venue
Conference on Computational Natural Language Learning
Last Checked
4 months ago
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.
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