Concept-To-Text Generation
4 papers with code • 1 benchmarks • 1 datasets
Generating natural language text from a conceptualized representation, such as an ontology.
Benchmarks
These leaderboards are used to track progress in Concept-To-Text Generation
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
COCO Captions
Most implemented papers
Neural Text Generation from Structured Data with Application to the Biography Domain
tyliupku/wiki2bio
•
•
EMNLP 2016
This paper introduces a neural model for concept-to-text generation that scales to large, rich domains.
SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation
We motivate and propose a suite of simple but effective improvements for concept-to-text generation called SAPPHIRE: Set Augmentation and Post-hoc PHrase Infilling and REcombination.
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models
We investigate the use of multimodal information contained in images as an effective method for enhancing the commonsense of Transformer models for text generation.
Visualize Before You Write: Imagination-Guided Open-Ended Text Generation
vegb/inlg
•
•
Recent advances in text-to-image synthesis make it possible to visualize machine imaginations for a given context.
