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arXiv · 2109.02938

Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues using BERT

Ye Liu·Wolfgang Maier·Wolfgang Minker·Stefan Ultes
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Abstract

This paper presents an automatic method to evaluate the naturalness of natural language generation in dialogue systems. While this task was previously rendered through expensive and time-consuming human labor, we present this novel task of automatic naturalness evaluation of generated language. By fine-tuning the BERT model, our proposed naturalness evaluation method shows robust results and outperforms the baselines: support vector machines, bi-directional LSTMs, and BLEURT. In addition, the training speed and evaluation performance of naturalness model are improved by transfer learning from quality and informativeness linguistic knowledge.

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Ye Liu, Wolfgang Maier, Wolfgang Minker, Stefan Ultes. 2021-11-26. Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues using BERT. https://arxiv.org/abs/2109.02938

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