PRAL: A Tailored Pre-Training Model for Task-Oriented Dialog Generation (2021.acl-short)
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| Challenge: | Existing approaches to building task-oriented dialog systems require a substantial amount of annotations and thus are labor-intensive. |
| Approach: | They propose a Pre-trainedRole Alternating Language model (PRAL) that is explicitly designed for task-oriented dialog tasks. |
| Outcome: | The proposed model outperforms or is on par with state-of-the-art models on task-oriented dialog tasks. |
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| Challenge: | Empirical results indicate that pre-trained language models can significantly outperform state-of-the-art methods in both automatic evaluation and human judgment. |
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