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SOTA
質問応答
Question Answering On Cnn Daily Mail
Question Answering On Cnn Daily Mail
評価指標
CNN
Daily Mail
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
CNN
Daily Mail
Paper Title
Repository
GA+MAGE (32)
78.6
-
Linguistic Knowledge as Memory for Recurrent Neural Networks
-
GA Reader
77.9
80.9
Gated-Attention Readers for Text Comprehension
Attentive + relabling + ensemble
77.6
79.2
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
BiDAF
76.9
79.6
Bidirectional Attention Flow for Machine Comprehension
AIA
76.1
-
Iterative Alternating Neural Attention for Machine Reading
AS Reader (ensemble model)
75.4
77.7
Text Understanding with the Attention Sum Reader Network
ReasoNet
74.7
76.6
ReasoNet: Learning to Stop Reading in Machine Comprehension
-
AoA Reader
74.4
-
Attention-over-Attention Neural Networks for Reading Comprehension
EpiReader
74
-
Natural Language Comprehension with the EpiReader
-
Dynamic Entity Repres. + w2v
72.9
-
-
-
AttentiveReader + bilinear attention
72.4
75.8
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
AS Reader (single model)
69.5
73.9
Text Understanding with the Attention Sum Reader Network
MemNNs (ensemble)
69.4
-
Teaching Machines to Read and Comprehend
Classifier
67.9
68.3
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
Impatient Reader
63.8
68.0
Teaching Machines to Read and Comprehend
Attentive Reader
63
69
Teaching Machines to Read and Comprehend
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