Alert button
Picture for Christopher Suh

Christopher Suh

Alert button

There Once Was a Really Bad Poet, It Was Automated but You Didn't Know It

Add code
Bookmark button
Alert button
Mar 05, 2021
Jianyou Wang, Xiaoxuan Zhang, Yuren Zhou, Christopher Suh, Cynthia Rudin

Figure 1 for There Once Was a Really Bad Poet, It Was Automated but You Didn't Know It
Figure 2 for There Once Was a Really Bad Poet, It Was Automated but You Didn't Know It
Figure 3 for There Once Was a Really Bad Poet, It Was Automated but You Didn't Know It
Figure 4 for There Once Was a Really Bad Poet, It Was Automated but You Didn't Know It

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).

* Paper accepted and will be published at TACL (Transactions of the Association for Computational Linguistics) 2021 
Viaarxiv icon
Github IconAccess Paper or Ask Questions
Twitter IconFacebook IconLinkedin IconWhatsapp IconMessenger Icon