A data-driven model of explanations for a chatbot that helps to practice conversation in a foreign language

Reference : A data-driven model of explanations for a chatbot that helps to practice conversation...


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/39690

Title :	A data-driven model of explanations for a chatbot that helps to practice conversation in a foreign language
Language :	English
Author, co-author :	Höhn, Sviatlana [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2017
Main document title :	Proceedings of SIGDial 2017
Peer reviewed :	Yes
Audience :	International
Event name :	Sviatlana Höhn
Event date :	2017 August
Event organizer :	SIGDial
Event place (city) :	Saarbrücken
Event country :	Germany
Keywords :	[en] Chatbots ; Repair ; ICALL
Abstract :	[en] This article describes a model of other-initiated self-repair for a chatbot that helps to practice conversation in a foreign lan- guage. The model was developed using a corpus of instant messaging conversations between German native and non-native speakers. Conversation Analysis helped to create computational models from a small number of examples. The model has been validated in an AIML-based chatbot. Unlike typical retrieval-based dialogue systems, the explanations are generated at run-time from a linguistic database.
Permalink :	http://hdl.handle.net/10993/39690
Other URL :	https://www.sigdial.org/files/workshops/conference18/

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