@inproceedings{liu-etal-2021-naturalness,
title = "Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues Using {BERT}",
author = "Liu, Ye and
Maier, Wolfgang and
Minker, Wolfgang and
Ultes, Stefan",
editor = "Mitkov, Ruslan and
Angelova, Galia",
booktitle = "Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)",
month = sep,
year = "2021",
address = "Held Online",
publisher = "INCOMA Ltd.",
url = "https://aclanthology.org/2021.ranlp-1.96/",
pages = "839--845",
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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%0 Conference Proceedings
%T Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues Using BERT
%A Liu, Ye
%A Maier, Wolfgang
%A Minker, Wolfgang
%A Ultes, Stefan
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
%D 2021
%8 September
%I INCOMA Ltd.
%C Held Online
%F liu-etal-2021-naturalness
%X 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.
%U https://aclanthology.org/2021.ranlp-1.96/
%P 839-845
Markdown (Informal)
[Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues Using BERT](https://aclanthology.org/2021.ranlp-1.96/) (Liu et al., RANLP 2021)
ACL