JSAI2020

Presentation information

General Session

General Session » J-9 Natural language processing, information retrieval

[4Q2-GS-9] Natural language processing, information retrieval: Q&A system

Fri. Jun 12, 2020 12:00 PM - 1:40 PM Room Q (jsai2020online-17)

座長:吉野幸一郎(NAIST)

12:40 PM - 1:00 PM

[4Q2-GS-9-03] Semi-automatic Generation of Spoken English Dialogue Scenarios Based on Service Process Model

〇Emmanuel Ayedoun1, Yuki Hayashi1, Kazuhisa Seta1 (1. Osaka Prefecture University)

Keywords:Conversational systems, Service-oriented dialogue scenarios, Authoring systems

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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