Methods › Natural Language Processing › Transformers › SC-GPT
SC-GPT
Introduced by Baolin Peng et al. in Few-shot Natural Language Generation for Task-Oriented Dialog
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
SC-GPT is a multi-layer Transformer neural language model, trained in three steps: (i) Pre-trained on plain text, similar to GPT-2; (ii) Continuously pretrained on large amounts of dialog-act labeled utterances corpora to acquire the ability of controllable generation; (iii) Fine-tuned for a target domain using very limited amounts of domain labels. Unlike GPT-2, SC-GPT generates semantically controlled responses that are conditioned on the given semantic form, similar to SC-LSTM but requiring much less domain labels to generalize to new domains. It is pre-trained on a large set of annotated NLG corpus to acquire the controllable generation ability, and fine-tuned with only a few domain-specific labels to adapt to new domains.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Few-shot Natural Language Generation for Task-Oriented Dialog 27 Feb 2020 · 2 repositories · arXiv:2002.12328
Tasks archive 2025-07-28
3 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Data-to-Text Generation | 1 |
| Few-Shot Learning | 1 |
| Text Generation | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections