Example Extension via Role-playing QA Data

Abstract

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.