Papers with constrained decoding approach
Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue (P19-1)
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| Challenge: | Generating fluent natural language responses from structured semantic representations is a critical step in task-oriented conversational systems. |
| Approach: | They propose using tree-structured semantic representations for better discourse-level structuring and sentence-level planning and introduce a challenging dataset using this representation for the weather domain. |
| Outcome: | The proposed model improves discourse-level structuring and sentence-level planning on a weather domain and can be decoded to improve semantic correctness. |
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. |