natural-language-processing-13
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
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WebNLG 2.0 (Unconstrained)
WebNLG 2.0 (Unconstrained)
AGENDA
AGENDA
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