Presentation information

Oral presentation

General Session » [General Session] 7. Agent

[4J2] [General Session] 7. Agent

Fri. Jun 8, 2018 2:00 PM - 3:40 PM Room J (2F Royal Garden B)

座長:森川 幸治(パナソニック株式会社)

3:00 PM - 3:20 PM

[4J2-04] Example Extension via Role-playing QA Data

〇Masahiro Mizukami1, Ryuichiro Higashinaka1,2, Hidetoshi Kawabata3, Emi Yamaguchi3, Noritake Adachi3, Hiroaki Sugiyama1 (1. NTT Communication Science Laboratories, 2. NTT Media Intelligence Laboratories, 3. DWANGO Co., Ltd.)

Keywords:non-task-oriented dialogue system, role-playing question-answering

Data collection is one of the essential tasks of non-task-oriented dialogue systems. Role-playing question answer- ing is proposed as an effective data collection approach to collect a large amount of consistent QA data at low cost. This QA data can use for example-based non-task-oriented dialogue system practically. However, collecting not only role-play QA data but also more diverse examples is important to answer various users ’questions. We propose an extension technique that increases the number of examples for non-task-oriented dialogue systems. This technique helps to erect non-task-oriented dialogue system, which can reply to question that does not include in role-playing QA data. In this research, we make a large number of consistent examples using a small amount of role-playing QA data and a large amount of Twitter data.