Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
33rd (2019)
Session ID : 2L3-J-9-04
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V-TA: Dialogue System for Practical Training on Software Development
*Masayuki OTANITaku KAWABATAKoji ABEHirofumi YAMAMOTOShiro TAKATAYoshihiko AKAMATSUFujiko YAMAMURA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

This manuscript reports the results and findings obtained by the operation of the dialogue system "V-TA" that is used in a practical training class in Kindai University "Media Informatics Project II". Our 4 month operation revealed the following implications: (i) Cooperation between Students, TAs, and Lecturers accelerates efficient collection of dialogue corpus; (ii) V-TA plays a role as a feedback collection mechanism from students for a class; and (iii) V-TA halves the cost of QA tasks since it can correctly answer questions from students with 56% probability.

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© 2019 The Japanese Society for Artificial Intelligence
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