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text-summarization-on-cnn-daily-mail-2
Text Summarization
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ModelName
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A Hierarchical Structured Self-Attentive Model for Extractive Document Summarization (HSSAS)
42.3
17.8
37.6
HSSAS
2018-05-20
Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks
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41.6
18.3
37.7
SWAP-NET
2018-07-01
Learning to Extract Coherent Summary via Deep Reinforcement Learning
41.25
18.87
37.75
RNES w/o coherence
2018-04-19
Improving Abstraction in Text Summarization
40.02
15.53
37.44
ML+RL ROUGE+Novel, with LM
2018-08-23
Generative Adversarial Network for Abstractive Text Summarization
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39.92
17.65
36.71
GAN
2017-11-26
A Deep Reinforced Model for Abstractive Summarization
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39.87
15.82
36.90
ML+RL, with intra-attention
2017-05-11
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
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39.66
15.85
37.34
rnn-ext + abs + RL + rerank
2018-05-28
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
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39.6
16.2
35.3
SummaRuNNer
2016-11-14
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
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39.2
15.7
35.5
Lead-3 baseline
2016-11-14
Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network
38.95
17.12
35.68
KIGN+Prediction-guide
2018-06-01
Fastformer: Additive Attention Can Be All You Need
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38.54
16.22
36.21
Fastformer
2021-08-20
Abstractive Document Summarization with a Graph-Based Attentional Neural Model
38.1
13.9
34.0
Tan et al.
2017-07-01
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
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35.46
13.30
32.65
words-lvt2k-temp-att
2016-02-19