Table 2.
ROUGE-1, ROUGE-2, and SARI scores for the generated text.a
| Model | ROUGE-1 | ROUGE-2 | SARI |
| BART-Fine-tuned | 0.40 | 0.11 | 0.39 |
| BART-UL | 0.38 | 0.14 | 0.40b |
| TESLEA | 0.39 | 0.11 | 0.40b |
| MUSSc | 0.23 | 0.03 | 0.34 |
| Keep it Simple | 0.23 | 0.03 | 0.32 |
| PEGASUS-large | 0.44b | 0.18b | 0.40b |
| PEGASUS-pubmed-large | 0.42 | 0.16 | 0.40b |
aTESLEA achieves similar performance to other models. Higher scores of ROUGE-1, ROUGE-2, and SARI are desirable.
bBest performance.
cMUSS: multilingual unsupervised sentence simplification.