Concept-To-Text Generation

4 papers with code • 1 benchmarks • 1 datasets

Generating natural language text from a conceptualized representation, such as an ontology.

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

styfeng/sapphire INLG (ACL) 2021

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

styfeng/visctg AKBC Workshop CSKB 2021

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 7 Oct 2022

Recent advances in text-to-image synthesis make it possible to visualize machine imaginations for a given context.