Example Extension via Role-playing QA Data
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- MIZUKAMI Masahiro
- NTT Communication Science Laboratories
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- HIGASHINAKA Ryuichiro
- NTT Communication Science Laboratories NTT Media Intelligence Laboratories
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- KAWABATA Hidetoshi
- DWANGO Co., Ltd.
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- YAMAGUCHI Emi
- DWANGO Co., Ltd.
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- ADACHI Noritake
- DWANGO Co., Ltd.
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- SUGIYAMA Hiroaki
- NTT Communication Science Laboratories
Bibliographic Information
- Other Title
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- なりきり QA データを用いた用例の拡張
Abstract
<p>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.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2018 (0), 4J204-4J204, 2018
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390282763025712000
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- NII Article ID
- 130007425885
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed