Sketch-to-text Generation
1 papers with code • 0 benchmarks • 0 datasets
Generate a full text based on a sketch (key information consisting of textual spans, phrases, or words), where the sketch may only make up a very small part of the full text.
Benchmarks
These leaderboards are used to track progress in Sketch-to-text Generation
Most implemented papers
GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation
beyondguo/genius
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We introduce GENIUS: a conditional text generation model using sketches as input, which can fill in the missing contexts for a given sketch (key information consisting of textual spans, phrases, or words, concatenated by mask tokens).
