人工知能学会全国大会論文集
Online ISSN : 2758-7347
34th (2020)
セッションID: 4Q2-GS-9-03
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Semi-automatic Generation of Spoken English Dialogue Scenarios Based on Service Process Model
*Emmanuel AYEDOUNYuki HAYASHIKazuhisa SETA
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The aim of this study is to ease the design of spoken English dialogue scenarios (i.e. the dialogue task structure and the dialogue flow logic), as a starting point towards providing English as a foreign language learners opportunities to simulate the target language in various computer-based realistic conversation situations. In this paper, we specifically focus on services (e.g. restaurant, hotel, travel booking, etc.) which seem to share a certain degree of structural similarity at the task level, and ultimately build an authoring tool that embeds a generic service task structure model in order to facilitate the implementation of services-oriented dialogues across various services domains. In such a way, dialogue scenario designers could just focus on specifying domain-specific aspects of the dialogue scenario, which is expected to lessen new scenarios implementation effort and speed up the design process of various service-oriented dialogue situations. We present a conceptual framework for dialogue scenario design which provides an overview of the proposed dialogue scenario authoring workflow.

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© 2020 The Japanese Society for Artificial Intelligence
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