Question Answering on CNN / Daily Mail

Metric: CNN (higher is better)

LeaderboardDataset

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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

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