Breakdown detector for chat-oriented dialogue

Abstract

It is difficult to determine the cause of a breakdown in a dialogue when using a chat-oriented dialogue system due to a wide variety of possible causes. To address this problem, we analyzed a chat dialogue corpus and formulated a taxonomy of the errors that could lead to dialogue breakdowns. The experimental results demonstrated the effectiveness of the taxonomy to some degree. We also developed a breakdown detector that comprises combinations of classifiers for different causes of errors based on the taxonomy.