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arXiv · 1712.02250

Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation

Bolin Wei·Shuai Lu·Lili Mou·Hao Zhou·Pascal Poupart·Ge Li·Zhi Jin
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Abstract

This paper addresses the question: Why do neural dialog systems generate short and meaningless replies? We conjecture that, in a dialog system, an utterance may have multiple equally plausible replies, causing the deficiency of neural networks in the dialog application. We propose a systematic way to mimic the dialog scenario in a machine translation system, and manage to reproduce the phenomenon of generating short and less meaningful sentences in the translation setting, showing evidence of our conjecture.

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Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin. 2017-12-06. Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation. https://arxiv.org/abs/1712.02250

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