Augmentation of Dialogue Database by Generating Interrogative Sentences Using Templates

Abstract

In recent years, there are many dialogue systems selecting an appropriate response from a dialogue database. However, when the number of sentences in the database is small, it may not contain an appropriate sentence in an open domain setting. Therefore, it is desirable to prepare a large number of candidate sentences and to fully expand the dialogue database beforehand. In this research, we generate templates from handwritten responses from actual dialogue logs to augment interrogative sentences for a dialogue database.