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

arXiv: https://arxiv.org/abs/1712.02250 · HTML: https://mlsanity.com/paper/1712.02250/

## Key facts

- Cited by 12 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Dec 2017.

## Built on by (most cited first, 12 of 12)

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## Abstract (arXiv)

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.
