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CNN / Daily Mail
Question Answering on CNN / Daily Mail
Metric: CNN (higher is better)
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Results
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#
Model
↕
CNN
▼
Extra Data
Paper
Date
↕
Code
1
GA+MAGE (32)
78.6
No
Linguistic Knowledge as Memory for Recurrent Neu...
2017-03-07
-
2
GA Reader
77.9
No
Gated-Attention Readers for Text Comprehension
2016-06-05
Code
3
Attentive + relabling + ensemble
77.6
No
A Thorough Examination of the CNN/Daily Mail Rea...
2016-06-09
Code
4
BiDAF
76.9
No
Bidirectional Attention Flow for Machine Compreh...
2016-11-05
Code
5
AIA
76.1
No
Iterative Alternating Neural Attention for Machi...
2016-06-07
Code
6
AS Reader (ensemble model)
75.4
No
Text Understanding with the Attention Sum Reader...
2016-03-04
Code
7
ReasoNet
74.7
No
ReasoNet: Learning to Stop Reading in Machine Co...
2016-09-17
-
8
AoA Reader
74.4
No
Attention-over-Attention Neural Networks for Rea...
2016-07-15
Code
9
EpiReader
74
No
Natural Language Comprehension with the EpiReader
2016-06-07
-
10
Dynamic Entity Repres. + w2v
72.9
No
-
-
-
11
AttentiveReader + bilinear attention
72.4
No
A Thorough Examination of the CNN/Daily Mail Rea...
2016-06-09
Code
12
AS Reader (single model)
69.5
No
Text Understanding with the Attention Sum Reader...
2016-03-04
Code
13
MemNNs (ensemble)
69.4
No
Teaching Machines to Read and Comprehend
2015-06-10
Code
14
Classifier
67.9
No
A Thorough Examination of the CNN/Daily Mail Rea...
2016-06-09
Code
15
Impatient Reader
63.8
No
Teaching Machines to Read and Comprehend
2015-06-10
Code
16
Attentive Reader
63
No
Teaching Machines to Read and Comprehend
2015-06-10
Code