file.pdf (117.58 kB)

Knowledge Acquisition Strategies for Goal-Oriented Dialog Systems

Download (117.58 kB)
journal contribution
posted on 01.06.2014 by Aasish K Pappu, Alexander Rudnicky

Many goal-oriented dialog agents are expected to identify slot-value pairs in a spoken query, then perform lookup in a knowledge base to complete the task. When the agent encounters unknown slotvalues, it may ask the user to repeat or reformulate the query. But a robust agent can proactively seek new knowledge from a user, to help reduce subsequent task failures. In this paper, we propose knowledge acquisition strategies for a dialog agent and show their effectiveness. The acquired knowledge can be shown to subsequently contribute to task completion.

History

Publisher Statement

Copyright 2014 Association for Computational Linguistics

Date

01/06/2014

Exports

Exports