Papers by Cynthia Rudin
The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation (2023.acl-short)
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| Challenge: | Rather than train a model to obey these constraints implicitly, we opt to enforce them explicitly using a simple but novel approach to generation. |
| Approach: | They propose to automate the generation of sonnets within preset poetic constraints using a constrained decoding approach that uses a relatively modest neural backbone. |
| Outcome: | The proposed method produces sonnets that adhere to the genre’s defined constraints and contain lyrical language and literary devices. |
There Once Was a Really Bad Poet, It Was Automated but You Didn’t Know It (2021.tacl-1)
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| Challenge: | Existing algorithms for limerick generation are difficult to use, as they must follow strict structural, meter, and rhyming constraints. |
| Approach: | They propose a system for automatic limerick generation that outperforms state-of-the-art models. |
| Outcome: | The proposed system outperforms state-of-the-art models and rule-based models in generating limericks. |