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        <title>QiuNiu: A Chinese Lyrics Generation System with Passage-Level Input</title>
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    <abstract>Lyrics generation has been a very popular application of natural language generation. Previous works mainly focused on generating lyrics based on a couple of attributes or keywords, rendering very limited control over the content of the lyrics. In this paper, we demonstrate the QiuNiu, a Chinese lyrics generation system which is conditioned on passage-level text rather than a few attributes or keywords. By using the passage-level text as input, the content of generated lyrics is expected to reflect the nuances of users’ needs. The QiuNiu system supports various forms of passage-level input, such as short stories, essays, poetry. The training of it is conducted under the framework of unsupervised machine translation, due to the lack of aligned passage-level text-to-lyrics corpus. We initialize the parameters of QiuNiu with a custom pretrained Chinese GPT-2 model and adopt a two-step process to finetune the model for better alignment between passage-level text and lyrics. Additionally, a postprocess module is used to filter and rerank the generated lyrics to select the ones of highest quality. The demo video of the system is available at https://youtu.be/OCQNzahqWgM.</abstract>
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%0 Conference Proceedings
%T QiuNiu: A Chinese Lyrics Generation System with Passage-Level Input
%A Zhang, Le
%A Zhang, Rongsheng
%A Mao, Xiaoxi
%A Chang, Yongzhu
%Y Basile, Valerio
%Y Kozareva, Zornitsa
%Y Stajner, Sanja
%S Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F zhang-etal-2022-qiuniu
%X Lyrics generation has been a very popular application of natural language generation. Previous works mainly focused on generating lyrics based on a couple of attributes or keywords, rendering very limited control over the content of the lyrics. In this paper, we demonstrate the QiuNiu, a Chinese lyrics generation system which is conditioned on passage-level text rather than a few attributes or keywords. By using the passage-level text as input, the content of generated lyrics is expected to reflect the nuances of users’ needs. The QiuNiu system supports various forms of passage-level input, such as short stories, essays, poetry. The training of it is conducted under the framework of unsupervised machine translation, due to the lack of aligned passage-level text-to-lyrics corpus. We initialize the parameters of QiuNiu with a custom pretrained Chinese GPT-2 model and adopt a two-step process to finetune the model for better alignment between passage-level text and lyrics. Additionally, a postprocess module is used to filter and rerank the generated lyrics to select the ones of highest quality. The demo video of the system is available at https://youtu.be/OCQNzahqWgM.
%R 10.18653/v1/2022.acl-demo.7
%U https://aclanthology.org/2022.acl-demo.7
%U https://doi.org/10.18653/v1/2022.acl-demo.7
%P 76-82

Markdown (Informal)

[QiuNiu: A Chinese Lyrics Generation System with Passage-Level Input](https://aclanthology.org/2022.acl-demo.7) (Zhang et al., ACL 2022)

• QiuNiu: A Chinese Lyrics Generation System with Passage-Level Input (Zhang et al., ACL 2022)

ACL

• Le Zhang, Rongsheng Zhang, Xiaoxi Mao, and Yongzhu Chang. 2022. QiuNiu: A Chinese Lyrics Generation System with Passage-Level Input. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 76–82, Dublin, Ireland. Association for Computational Linguistics.