Home // SEMAPRO 2019, The Thirteenth International Conference on Advances in Semantic Processing // View article
Authors:
Eleni Kamateri
Georgios Meditskos
Spyridon Symeonidis
Stefanos Vrochidis
Ioannis Kompatsiaris
Wolfgang Minker
Keywords: Dialogue management; Knowledge representations; Reasoning; Strategy learning; Virtual assistance
Abstract:
This paper introduces a virtual assistant framework that combines knowledge-based and statistical techniques to produce meaningful task-oriented conversations that are enhanced by ”chatty” style dialogues in order to increase system’s naturalness and user engagement. The paper describes how appropriate ontologies, semantic reasoning, dialogue management and policy learning techniques can be linked together and integrated through the dialogue process to enable a) the internal representation of the conversational state, b) the conversational awareness that drives the retrieval of appropriate information from the Knowledge Base (KB) and the inference of unrelated system actions with the current conversational state, and c) the dynamic selection of the most appropriate strategy at each dialogue turn, tackling both informational and social-related needs of individuals. The framework is exemplified by a use case from the healthcare domain where companionship and supportive care-related services are prerequisites for an efficient human-system interaction through a conversational agent.
Pages: 28 to 31
Copyright: Copyright (c) IARIA, 2019
Publication date: September 22, 2019
Published in: conference
ISSN: 2308-4510
ISBN: 978-1-61208-738-2
Location: Porto, Portugal
Dates: from September 22, 2019 to September 26, 2019