Papers with controlled text generation task
Sequentially Controlled Text Generation (2022.findings-emnlp)
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| Challenge: | Using GPT-2, long documents can ramble and do not follow human-like writing structure. |
| Approach: | They propose a controlled text generation task that generates documents with structure . they use a news article as a dataset to test different degrees of structural awareness . |
| Outcome: | The proposed task generates documents with a structure that is human-like, but long documents lack structure. |