Math @ Duke
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Publications [#359994] of Cynthia D. Rudin
Papers Published
- Wang, J; Zhang, X; Zhou, Y; Suh, C; Rudin, C, There once was a really bad poet, it was automated but you didn’t know it,
Transactions of the Association for Computational Linguistics, vol. 9
(July, 2021),
pp. 605-620 [doi]
(last updated on 2024/04/18)
Abstract: Limerick generation exemplifies some of the most difficult challenges faced in poetry generation, as the poems must tell a story in only five lines, with constraints on rhyme, stress, and meter. To address these challenges, we introduce LimGen, a novel and fully automated system for limerick generation that outperforms state-of-the-art neural network-based poetry models, as well as prior rule-based poetry models. LimGen consists of three important pieces: the Adaptive Multi-Templated Constraint algorithm that constrains our search to the space of realistic poems, the Multi-Templated Beam Search algorithm which searches efficiently through the space, and the probabilistic Storyline algorithm that provides coherent storylines related to a user-provided prompt word. The resulting limericks satisfy poetic constraints and have thematically coherent storylines, which are sometimes even funny (when we are lucky).
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