Abstractive Summarization on Gigaword non-anonymized (test)
38.45ROUGE-1UNILM
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| UNILMTraining Data Size=Full Training Set (3.8M)2019.05 | 38.45 | 19.45 | 35.75 | |
| MASSTraining Data Size=Full Training Set (3.8M)2019.05 | 37.66 | 18.53 | 34.89 | |
| Re3SumTraining Data Size=Full Training Set (3.8M)2019.05 | 37.04 | 19.03 | 34.46 | |
| OpenNMTTraining Data Size=Full Training Set (3.8M)2019.05 | 36.73 | 17.86 | 33.68 | |
| UNILMTraining Data Size=10K Training Examples2019.05 | 32.96 | 14.68 | 30.56 | |
| MASSTraining Data Size=10K Training Examples2019.05 | 25.03 | 9.48 | 23.48 | |
| TransformerTraining Data Size=10K Training Examples2019.05 | 10.97 | 2.23 | 10.42 |