Recurrent neural network interaction quality estimation

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• dc.contributor.author Pragst, Louisaca
• dc.contributor.author Ultes, Stefanca
• dc.contributor.author Minker, Wolfgangca
• dc.date.accessioned 2017-09-26T17:18:45Z
• dc.date.issued 2016
• dc.description.abstract Getting a good estimation of the Interaction Quality (IQ) of a spoken dialogue helps to increase the user satisfaction as the dialogue strategy may be adapted accordingly. Therefore, some research has already been conducted in order to automatically estimate the Interaction Quality. This paper adds to this by describing how Recurrent Neural Networks may be used to estimate the Interaction Quality for each dialogue turn and by evaluating their performance on this task. Here, we will show that RNNs may outperform non-recurrent neural networks.en
• dc.description.sponsorship This paper is part of a project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 645012.en
• dc.format.mimetype application/pdf
• dc.identifier.citation Pragst L, Ultes S, Minker W. Recurrent neural network interaction quality estimation. In: Jokinen K, Wilcock G, editors. Dialogues with social robots: enablements, analyses, and evaluation. Singapore: Springer; 2016. p. 381-93. (LNEE; no. 427). DOI: 10.1007/978-981-10-2585-3_31
• dc.identifier.doi http://dx.doi.org/10.1007/978-981-10-2585-3_31
• dc.identifier.uri http://hdl.handle.net/10230/32817
• dc.language.iso eng
• dc.publisher Springerca
• dc.relation.ispartof okinen K, Wilcock G, editors. Dialogues with social robots: enablements, analyses, and evaluation. Singapore: Springer; 2016. p. 381-93. (LNEE; no. 427).
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/645012
• dc.rights © Springer The final publication is available at Springer via http://dx.doi.org/10.1007/978-981-10-2585-3_31
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword RNNen
• dc.subject.keyword Sequential dataen
• dc.subject.keyword Quality of dialogueen
• dc.subject.keyword Recurrent neural networken
• dc.subject.keyword Neural networken
• dc.subject.keyword Interaction qualityen
• dc.subject.keyword User satisfactionen
• dc.subject.keyword Spoken dialogue systemen
• dc.title Recurrent neural network interaction quality estimationca
• dc.type info:eu-repo/semantics/bookPart
• dc.type.version info:eu-repo/semantics/acceptedVersion