POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training (2020.emnlp-main)
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| Challenge: | Existing pre-trained language models cannot be directly employed to generate text under specified lexical constraints. |
| Approach: | They propose a method for insertion-based text generation that inserts tokens between existing tokens in a parallel manner. |
| Outcome: | The proposed method is intuitive and interpretable on Wikipedia and Yelp datasets. |
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