A breakdown detection method based on taxonomy of errors in chat-oriented dialogue

Abstract

It is difficult to detect a breakdown phenomena in the dialogue with a chat-oriented dialogue system because of the variety of causes of breakdown. To deal with this problem, we analyzed a chat dialogue corpus and made a taxonomy of the errors that yield the dialogue break-down. In this paper, we propose a breakdown detection method that consists of combinations of the classifiers for the different cause of errors based on the taxonomy.