Math @ Duke
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Publications [#373003] of Cynthia D. Rudin
Papers Published
- Agnew, E; Qiu, M; Zhu, L; Wiseman, S; Rudin, C, The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation,
Proceedings of the Annual Meeting of the Association for Computational Linguistics, vol. 2
(January, 2023),
pp. 1627-1638, ISBN 9781959429715
(last updated on 2024/11/20)
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 genreās defined constraints and contain lyrical language and literary devices.
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