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        <title>Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System</title>
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        <namePart type="given">Jingkun</namePart>
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        <namePart type="given">Runzhe</namePart>
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            <title>Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations</title>
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            <namePart type="given">Danilo</namePart>
            <namePart type="family">Croce</namePart>
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            <namePart type="given">Luca</namePart>
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    <abstract>The development of poetry generation system mainly focuses on enhancing the capacity of generation model. However, the demands of customization and polishing are generally ignored, which highly reduces the scope of application. In this work, we present Yu Sheng, a web-based poetry generation system that is featured a human-in-loop generation framework, providing various customization options for users with different backgrounds to engage in the process of poetry composition. To this end, we propose two methods and train the models that can perform constrained generation and fine-grained polishing. The automatic and human evaluation results show that our system has a strong ability to generate and polish poetry compared to other vanilla models. Our system is publicly accessible at: https://yusheng.cis.um.edu.mo.</abstract>
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    <identifier type="doi">10.18653/v1/2023.eacl-demo.8</identifier>
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%0 Conference Proceedings
%T Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System
%A Ma, Jingkun
%A Zhan, Runzhe
%A Wong, Derek F.
%Y Croce, Danilo
%Y Soldaini, Luca
%S Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
%D 2023
%8 May
%I Association for Computational Linguistics
%C Dubrovnik, Croatia
%F ma-etal-2023-yu
%X The development of poetry generation system mainly focuses on enhancing the capacity of generation model. However, the demands of customization and polishing are generally ignored, which highly reduces the scope of application. In this work, we present Yu Sheng, a web-based poetry generation system that is featured a human-in-loop generation framework, providing various customization options for users with different backgrounds to engage in the process of poetry composition. To this end, we propose two methods and train the models that can perform constrained generation and fine-grained polishing. The automatic and human evaluation results show that our system has a strong ability to generate and polish poetry compared to other vanilla models. Our system is publicly accessible at: https://yusheng.cis.um.edu.mo.
%R 10.18653/v1/2023.eacl-demo.8
%U https://aclanthology.org/2023.eacl-demo.8
%U https://doi.org/10.18653/v1/2023.eacl-demo.8
%P 57-66

Markdown (Informal)

[Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System](https://aclanthology.org/2023.eacl-demo.8) (Ma et al., EACL 2023)

• Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System (Ma et al., EACL 2023)

ACL

• Jingkun Ma, Runzhe Zhan, and Derek F. Wong. 2023. Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 57–66, Dubrovnik, Croatia. Association for Computational Linguistics.