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SOTA
Question Generation
Question Generation On Squad11
Question Generation On Squad11
評価指標
BLEU-4
METEOR
ROUGE-L
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
BLEU-4
METEOR
ROUGE-L
Paper Title
Repository
ProphetNet + syn. mask + localness
24.37
26.26
52.77
Enhancing Pre-trained Models with Text Structure Knowledge for Question Generation
-
UniLMv2
24.43
-
-
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
ERNIE-GENLARGE (beam size=5)
25.41
-
-
ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation
ProphetNet
23.91
26.6
52.3
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training
UniLM + ASGen
23.7
25.9
52.3
Learning to Generate Questions by Recovering Answer-containing Sentences
-
MPQG
13.91
-
-
Leveraging Context Information for Natural Question Generation
ProphetNet + ASGen
24.44
26.73
52.8
Learning to Generate Questions by Recovering Answer-containing Sentences
-
RNN +attn +copy
13.5
-
-
Evaluating Rewards for Question Generation Models
UniLM
22.78
25.1
51.1
Unified Language Model Pre-training for Natural Language Understanding and Generation
NQG++
13.27
-
-
Neural Question Generation from Text: A Preliminary Study
BART (TextBox 2.0)
25.08
26.73
52.55
TextBox 2.0: A Text Generation Library with Pre-trained Language Models
-
BERTSQG
22.17
-
-
A Recurrent BERT-based Model for Question Generation
Selector & NQG++
15.874
-
-
Mixture Content Selection for Diverse Sequence Generation
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