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المنصة
الرئيسية
SOTA
الملخص النصي
Text Summarization On Cnn Daily Mail 2
Text Summarization On Cnn Daily Mail 2
المقاييس
ROUGE-1
ROUGE-2
ROUGE-L
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
ROUGE-1
ROUGE-2
ROUGE-L
Paper Title
HSSAS
42.3
17.8
37.6
A Hierarchical Structured Self-Attentive Model for Extractive Document Summarization (HSSAS)
SWAP-NET
41.6
18.3
37.7
Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks
RNES w/o coherence
41.25
18.87
37.75
Learning to Extract Coherent Summary via Deep Reinforcement Learning
ML+RL ROUGE+Novel, with LM
40.02
15.53
37.44
Improving Abstraction in Text Summarization
GAN
39.92
17.65
36.71
Generative Adversarial Network for Abstractive Text Summarization
ML+RL, with intra-attention
39.87
15.82
36.90
A Deep Reinforced Model for Abstractive Summarization
rnn-ext + abs + RL + rerank
39.66
15.85
37.34
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
SummaRuNNer
39.6
16.2
35.3
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Lead-3 baseline
39.2
15.7
35.5
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
KIGN+Prediction-guide
38.95
17.12
35.68
Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network
Fastformer
38.54
16.22
36.21
Fastformer: Additive Attention Can Be All You Need
Tan et al.
38.1
13.9
34.0
Abstractive Document Summarization with a Graph-Based Attentional Neural Model
words-lvt2k-temp-att
35.46
13.30
32.65
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
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Text Summarization On Cnn Daily Mail 2 | SOTA | HyperAI