CUED Publications database

Towards an ontology-driven adaptive dialogue framework

Meditskos, G and Dasiopoulou, S and Pragst, L and Ultes, S and Vrochidis, S and Kompatsiaris, I and Wanner, L (2016) Towards an ontology-driven adaptive dialogue framework. In: UNSPECIFIED pp. 15-20..

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Abstract

© 2016 ACM. In this paper, we describe the principles and technologies that underpin the development of an adaptive dialogue manager framework, tailored to carrying out human-agent conversations in a natural, robust and exible manner. Our research focus is twofold. First, the investigation of dialogue strategies that can handle dynamically created user and system actions, while still enabling the agent to adapt its actions to various and possibly changing contexts. Second, the utilisation of rich semantic annotations for capturing background knowledge, as well as conversation topics and semantics of user utterances extracted through language analysis. The resulting annotations comprise the situational descriptions upon which reasoning takes place to recognise the conversation context and compile appropriate responses.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:43
Last Modified: 12 Oct 2017 01:52
DOI: