Host: The Japanese Society for Artificial Intelligence
Name : The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, 2019
Number : 33
Location : [in Japanese]
Date : June 04, 2019 - June 07, 2019
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.