Abstractive Text Summarization On Edusum
Metrics
ROUGE-1
ROUGE-2
ROUGE-L
Results
Performance results of various models on this benchmark
Model Name | ROUGE-1 | ROUGE-2 | ROUGE-L | Paper Title | Repository |
|---|---|---|---|---|---|
| Seq2seq | 48.62 | 32.32 | 44.13 | A Step-by-Step Gradient Penalty with Similarity Calculation for Text Summary Generation | |
| NEZHA | 63.91 | 51.88 | 61.00 | A Step-by-Step Gradient Penalty with Similarity Calculation for Text Summary Generation | |
| BERT | 62.37 | 50.70 | 59.40 | A Step-by-Step Gradient Penalty with Similarity Calculation for Text Summary Generation | |
| RoBERTa | 63.22 | 51.34 | 60.26 | A Step-by-Step Gradient Penalty with Similarity Calculation for Text Summary Generation | |
| GP_Step_Sim | 64.48 | 52.70 | 61.91 | A Step-by-Step Gradient Penalty with Similarity Calculation for Text Summary Generation |
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