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        <name type="personal">
            <namePart type="given">Yang</namePart>
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    <abstract>Non-task-oriented dialog models suffer from poor quality and non-diverse responses. To overcome limited conversational data, we apply Simulated Multiple Reference Training (SMRT; Khayrallah et al., 2020), and use a paraphraser to simulate multiple responses per training prompt. We find SMRT improves over a strong Transformer baseline as measured by human and automatic quality scores and lexical diversity. We also find SMRT is comparable to pretraining in human evaluation quality, and outperforms pretraining on automatic quality and lexical diversity, without requiring related-domain dialog data.</abstract>
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    <identifier type="doi">10.18653/v1/2020.findings-emnlp.403</identifier>
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%0 Conference Proceedings
%T SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training
%A Khayrallah, Huda
%A Sedoc, João
%Y Cohn, Trevor
%Y He, Yulan
%Y Liu, Yang
%S Findings of the Association for Computational Linguistics: EMNLP 2020
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F khayrallah-sedoc-2020-smrt
%X Non-task-oriented dialog models suffer from poor quality and non-diverse responses. To overcome limited conversational data, we apply Simulated Multiple Reference Training (SMRT; Khayrallah et al., 2020), and use a paraphraser to simulate multiple responses per training prompt. We find SMRT improves over a strong Transformer baseline as measured by human and automatic quality scores and lexical diversity. We also find SMRT is comparable to pretraining in human evaluation quality, and outperforms pretraining on automatic quality and lexical diversity, without requiring related-domain dialog data.
%R 10.18653/v1/2020.findings-emnlp.403
%U https://aclanthology.org/2020.findings-emnlp.403/
%U https://doi.org/10.18653/v1/2020.findings-emnlp.403
%P 4489-4505

Markdown (Informal)

[SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training](https://aclanthology.org/2020.findings-emnlp.403/) (Khayrallah & Sedoc, Findings 2020)

• SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training (Khayrallah & Sedoc, Findings 2020)

ACL

• Huda Khayrallah and João Sedoc. 2020. SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 4489–4505, Online. Association for Computational Linguistics.