HyperAI

Abstractive Text Summarization On Cnn Daily

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 TitleRepository
end2end w/ inconsistency loss40.6817.9737.13--
Subformer-base40.918.337.7--
Two-Stage + RL41.7119.4938.79--
PEGASUS44.1721.4741.11--
Selector & Pointer-Generator41.7218.7438.79--
DELTA (BLSTM)--27.3--
PTGEN + Coverage39.5317.2836.38--
SRformer-BART43.1919.8040.40--
CoCoNet + CoCoPretrain44.5021.5541.24--
Scrambled code + broken46.7120.3943.56--
ERNIE-GENLARGE (large-scale text corpora)44.3121.3541.60--
Transformer39.5016.0636.63--
MUPPET BART Large44.4521.2541.4--
RL + pg + cbdec40.6617.8737.06--
Summary Loop Unsup37.7----
GLM-XXLarge44.721.441.4--
ERNIE-GENBASE42.3019.9239.68--
BertSumExtAbs42.1319.639.18--
Li et al.40.3018.0237.36--
PTGEN + Coverage39.5317.2836.38--
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