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. |
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| Challenge: | In recent years, successful approaches have emerged to accurately model various aspects of natural language. |
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| Challenge: | Current approaches to narrative composition are plagued by difficulty in mastering structure, will veer between topics, and lack long-range cohesion. |
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| Challenge: | End-to-end models learn to complete a task by directly learning all steps, without intermediary algorithms such as hand-crafted rules or post-processing. |
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