Seq2seq + E2T_cnn

Reported on 3 benchmarks across 1 task · 1 paper · 1 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Knowledge Base3 results

Text SummarizationonGigaWord
ROUGE-L· 2018-06-14
34.93
best: 60.29 (Riple/Saanvi-v0.1)
SOTA
Entity Commonsense Representation for Neural Abstractive Summarization arXiv:1806.05504
Text SummarizationonGigaWord
ROUGE-1· 2018-06-14
37.04
best: 60.12 (OpenAI/o3-mini)
Entity Commonsense Representation for Neural Abstractive Summarization arXiv:1806.05504
Text SummarizationonGigaWord
ROUGE-2· 2018-06-14
16.66
best: 54.22 (OpenAI/o3-mini)
Entity Commonsense Representation for Neural Abstractive Summarization arXiv:1806.05504