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text-summarization-on-duc-2004-task-1
Text Summarization
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ModelName
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Rethinking Perturbations in Encoder-Decoders for Fast Training
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33.06
11.45
28.51
Transformer+WDrop
2021-04-05
Positional Encoding to Control Output Sequence Length
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32.85
11.78
28.52
Transformer+LRPE+PE+Re-ranking+Ensemble
2019-04-16
All Word Embeddings from One Embedding
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32.57
11.63
28.24
Transformer+LRPE+PE+ALONE+Re-ranking
2020-04-25
Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization
32.28
10.54
27.8
EndDec+WFE
2016-12-31
Deep Recurrent Generative Decoder for Abstractive Text Summarization
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31.79
10.75
27.48
DRGD
2017-08-02
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization
31.15
10.85
27.68
Reinforced-Topic-ConvS2S
2018-05-09
Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization
29.33
10.24
25.24
Seq2seq + selective + MTL + ERAM
2018-08-01
Selective Encoding for Abstractive Sentence Summarization
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29.21
9.56
25.51
SEASS
2017-04-24
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
28.97
8.26
24.06
RAS-Elman
2016-06-01
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
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28.61
9.42
25.24
words-lvt5k-1sent
2016-02-19
A Neural Attention Model for Abstractive Sentence Summarization
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28.18
8.49
23.81
Abs+
2015-09-02
Sample Efficient Text Summarization Using a Single Pre-Trained Transformer
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17.74
Transformer LM
2019-05-21
A Neural Attention Model for Abstractive Sentence Summarization
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22.05
ABS
2015-09-02