Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/16951
Title: Dialog systems and their inputs
Authors: Dingli, Alexiei
Scerri, Darren
Keywords: RDF (Document markup language)
Expert systems (Computer science)
Artificial intelligence
Natural language processing (Computer science)
Issue Date: 2013
Publisher: Springer
Citation: Dingli, A., & Scerri, D. (2013). Dialog systems and their inputs. HCI International 2013, Las Vegas. 601-605.
Abstract: One of the main limitations in existent domain-independent conversational agents is that the general and linguistic knowledge of these agents is limited to what the agents' developers explicitly defined. Therefore, a system which analyses user input at a deeper level of abstraction which backs its knowledge with common sense information will essentially result in a system that is capable of providing more adequate responses which in turn result in a better overall user experience. From this premise, a framework was proposed, and a working prototype was implemented upon this framework. These make use of various natural language processing tools, online and offline knowledge bases, and other information sources, to enable it to comprehend and construct relevant responses.
URI: https://www.um.edu.mt/library/oar//handle/123456789/16951
Appears in Collections:Scholarly Works - FacICTAI

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