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Question Generation On Squad11

评估指标

BLEU-4
METEOR
ROUGE-L

评测结果

各个模型在此基准测试上的表现结果

Paper TitleRepository
ERNIE-GENLARGE (beam size=5)25.41--ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation
BART (TextBox 2.0)25.0826.7352.55TextBox 2.0: A Text Generation Library with Pre-trained Language Models
ProphetNet + ASGen24.4426.7352.8Learning to Generate Questions by Recovering Answer-containing Sentences-
UniLMv224.43--UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
ProphetNet + syn. mask + localness24.3726.2652.77Enhancing Pre-trained Models with Text Structure Knowledge for Question Generation-
ProphetNet23.9126.652.3ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training
UniLM + ASGen23.725.952.3Learning to Generate Questions by Recovering Answer-containing Sentences-
UniLM22.7825.151.1Unified Language Model Pre-training for Natural Language Understanding and Generation
BERTSQG22.17--A Recurrent BERT-based Model for Question Generation-
Selector & NQG++15.874--Mixture Content Selection for Diverse Sequence Generation
MPQG13.91--Leveraging Context Information for Natural Question Generation-
RNN +attn +copy13.5--Evaluating Rewards for Question Generation Models
NQG++13.27--Neural Question Generation from Text: A Preliminary Study
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Question Generation On Squad11 | SOTA | HyperAI超神经