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        <title>The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation</title>
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        <namePart type="given">Edwin</namePart>
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    <abstract>We consider the automated generation of sonnets, a poetic form constrained according to meter, rhyme scheme, and length. Sonnets generally also use rhetorical figures, expressive language, and a consistent theme or narrative. Our constrained decoding approach allows for the generation of sonnets within preset poetic constraints, while using a relatively modest neural backbone. Human evaluation confirms that our approach produces Shakespearean sonnets that resemble human-authored sonnets, and which adhere to the genre’s defined constraints and contain lyrical language and literary devices.</abstract>
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%0 Conference Proceedings
%T The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation
%A Agnew, Edwin
%A Qiu, Michelle
%A Zhu, Lily
%A Wiseman, Sam
%A Rudin, Cynthia
%Y Rogers, Anna
%Y Boyd-Graber, Jordan
%Y Okazaki, Naoaki
%S Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F agnew-etal-2023-mechanical
%X We consider the automated generation of sonnets, a poetic form constrained according to meter, rhyme scheme, and length. Sonnets generally also use rhetorical figures, expressive language, and a consistent theme or narrative. Our constrained decoding approach allows for the generation of sonnets within preset poetic constraints, while using a relatively modest neural backbone. Human evaluation confirms that our approach produces Shakespearean sonnets that resemble human-authored sonnets, and which adhere to the genre’s defined constraints and contain lyrical language and literary devices.
%R 10.18653/v1/2023.acl-short.140
%U https://aclanthology.org/2023.acl-short.140
%U https://doi.org/10.18653/v1/2023.acl-short.140
%P 1627-1638

Markdown (Informal)

[The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation](https://aclanthology.org/2023.acl-short.140) (Agnew et al., ACL 2023)

• The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation (Agnew et al., ACL 2023)

ACL

• Edwin Agnew, Michelle Qiu, Lily Zhu, Sam Wiseman, and Cynthia Rudin. 2023. The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1627–1638, Toronto, Canada. Association for Computational Linguistics.