natural-language-processing-20
KG-to-Text Generation
3260 papers • 126 benchmarks • 313 datasets
Knowledge-graph-to-text (KG-to-text) generation aims to generate high-quality texts which are consistent with input graphs. Description from: JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
(Image credit: Open Source)
Benchmarks
These leaderboards are used to track progress in kg-to-text-generation-40
Trend
Dataset
Best Model
Actions
WebNLG 2.0 (Unconstrained)
WebNLG 2.0 (Unconstrained)
AGENDA
AGENDA
EventNarrative
Libraries
iUse these libraries to find kg-to-text-generation-40 models and implementations
Datasets
No datasets available.
Subtasks
No subtasks available.
