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    <titleInfo>
        <title>There Once Was a Really Bad Poet, It Was Automated but You Didn’t Know It</title>
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        <namePart type="given">Jianyou</namePart>
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    <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).</abstract>
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%0 Journal Article
%T There Once Was a Really Bad Poet, It Was Automated but You Didn’t Know It
%A Wang, Jianyou
%A Zhang, Xiaoxuan
%A Zhou, Yuren
%A Suh, Christopher
%A Rudin, Cynthia
%J Transactions of the Association for Computational Linguistics
%D 2021
%V 9
%I MIT Press
%C Cambridge, MA
%F wang-etal-2021-really
%X 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).
%R 10.1162/tacl_a_00387
%U https://aclanthology.org/2021.tacl-1.37
%U https://doi.org/10.1162/tacl_a_00387
%P 605-620

Markdown (Informal)

[There Once Was a Really Bad Poet, It Was Automated but You Didn’t Know It](https://aclanthology.org/2021.tacl-1.37) (Wang et al., TACL 2021)

• There Once Was a Really Bad Poet, It Was Automated but You Didn’t Know It (Wang et al., TACL 2021)

ACL

• Jianyou Wang, Xiaoxuan Zhang, Yuren Zhou, Christopher Suh, and Cynthia Rudin. 2021. There Once Was a Really Bad Poet, It Was Automated but You Didn’t Know It. Transactions of the Association for Computational Linguistics, 9:605–620.