Unnecessary utterance detection for avoiding digressions in discussion

Riki Yoshida, Takuya Hiraoka, Graham Neubig, S. Sakti, T. Toda, Satoshi Nakamura
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Abstract

In this paper, we propose a method for avoiding digressions in discussion by detecting unnecessary utterances and having a dialogue system intervene. The detector is based on the features using word frequency and topic shifts. The performance (i.e. accuracy, recall, precision, and F-measure) of the unnecessary utterance detector is evaluated through leave-one-dialogue-out cross-validation. In the evaluation, we find that the performance of the proposed detector is higher than that of a typical automatic summarization method.
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讨论中避免离题的不必要话语检测
在本文中,我们提出了一种通过检测不必要的话语并让对话系统介入来避免讨论中跑题的方法。检测器是基于使用词频和主题转移的特征。不必要的话语检测器的性能(即准确性、召回率、精密度和F-measure)通过“留一个对话”交叉验证来评估。在评估中,我们发现该检测器的性能高于典型的自动摘要方法。
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