Frame Interpretation and Validation in a Open Domain Dialogue System
This work addresses the challenge of making embodied agents more adaptable in open-domain human interactions, though it appears incremental as it builds on existing dialogue techniques.
The paper tackles the problem of enabling open-domain dialogue systems to process and validate natural language utterances against an agent's knowledge structures, presenting an algorithm that uses dialogue techniques to resolve ambiguities and acquire knowledge about unknown entities.
Our goal in this paper is to establish a means for a dialogue platform to be able to cope with open domains considering the possible interaction between the embodied agent and humans. To this end we present an algorithm capable of processing natural language utterances and validate them against knowledge structures of an intelligent agent's mind. Our algorithm leverages dialogue techniques in order to solve ambiguities and acquire knowledge about unknown entities.