Unsupervised Kg To Text Generation On Genwiki
评估指标
BLEU
CIDEr
METEOR
ROUGE-L
评测结果
各个模型在此基准测试上的表现结果
模型名称 | BLEU | CIDEr | METEOR | ROUGE-L | Paper Title | Repository |
|---|---|---|---|---|---|---|
| CycleGT_Warm | 41.35 | 3.45 | 35.20 | 63.01 | GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation | |
| Rule-Based | 13.45 | 1.26 | 30.72 | 40.93 | GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation | |
| NoisySupervised | 30.12 | 2.52 | 28.12 | 56.96 | GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation | |
| CycleGT_Base | 41.59 | 3.57 | 35.72 | 63.31 | GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation | |
| DirectTransfer | 13.89 | 1.26 | 25.76 | 39.75 | GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation |
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