Open Domain Question Answering On Searchqa

评测结果

各个模型在此基准测试上的表现结果

模型名称	F1	Paper Title	Repository
SpanBERT	84.8	SpanBERT: Improving Pre-training by Representing and Predicting Spans	-
Denoising QA	64.5	Denoising Distantly Supervised Open-Domain Question Answering
DecaProp	63.6	Densely Connected Attention Propagation for Reading Comprehension	-
DECAPROP	-	Densely Connected Attention Propagation for Reading Comprehension	-
Locality-Sensitive Hashing	-	Reformer: The Efficient Transformer	-
Sparse Attention	-	Generating Long Sequences with Sparse Transformers	-
Multi-passage BERT	-	Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering	-
Cluster-Former (#C=512)	-	Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding	-
Bi-Attention + DCU-LSTM	-	Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension	-
Focused Hierarchical RNN	-	Focused Hierarchical RNNs for Conditional Sequence Processing	-
AMANDA	-	A Question-Focused Multi-Factor Attention Network for Question Answering	-
ASR	-	Text Understanding with the Attention Sum Reader Network	-
R^3	55.3	R$^3$: Reinforced Reader-Ranker for Open-Domain Question Answering	-
DrQA	-	Reading Wikipedia to Answer Open-Domain Questions	-

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