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SotA/Natural Language Processing/KG-to-Text Generation

KG-to-Text Generation

35 benchmarks22 papers

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

Benchmarks

KG-to-Text Generation on WebNLG 2.0 (Unconstrained)

ROUGE BLEU METEOR

KG-to-Text Generation on WebNLG 2.0 (Constrained)

BLEU METEOR ROUGE FactSpotter

KG-to-Text Generation on EventNarrative

BLEU METEOR ROUGE BertScore CIDEr ChrF++

KG-to-Text Generation on AGENDA

KG-to-Text Generation on PathQuestion

BLEU METEOR ROUGE

KG-to-Text Generation on WebQuestions

BLEU METEOR ROUGE

KG-to-Text Generation on WikiGraphs

Test perplexity rBLEU (Test)rBLEU (Valid)rBLEU(w/title)(Test)rBLEU(w/title)(Valid)

KG-to-Text Generation on WebNLG (All)

BLEU METEOR chrF++

KG-to-Text Generation on WebNLG (Seen)

BLEU METEOR chrF++

KG-to-Text Generation on WebNLG (Unseen)

BLEU METEOR chrF++

KG-to-Text Generation on ENT-DESC