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SotA/Natural Language Processing/Question Answering/CNN / Daily Mail

Question Answering on CNN / Daily Mail

Metric: CNN (higher is better)

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#Model↕CNN▼Extra DataPaperDate↕Code
1GA+MAGE (32)78.6NoLinguistic Knowledge as Memory for Recurrent Neu...2017-03-07-
2GA Reader77.9NoGated-Attention Readers for Text Comprehension2016-06-05Code
3Attentive + relabling + ensemble77.6NoA Thorough Examination of the CNN/Daily Mail Rea...2016-06-09Code
4BiDAF76.9NoBidirectional Attention Flow for Machine Compreh...2016-11-05Code
5AIA76.1NoIterative Alternating Neural Attention for Machi...2016-06-07Code
6AS Reader (ensemble model)75.4NoText Understanding with the Attention Sum Reader...2016-03-04Code
7ReasoNet74.7NoReasoNet: Learning to Stop Reading in Machine Co...2016-09-17-
8AoA Reader74.4NoAttention-over-Attention Neural Networks for Rea...2016-07-15Code
9EpiReader74NoNatural Language Comprehension with the EpiReader2016-06-07-
10Dynamic Entity Repres. + w2v72.9No---
11AttentiveReader + bilinear attention72.4NoA Thorough Examination of the CNN/Daily Mail Rea...2016-06-09Code
12AS Reader (single model)69.5NoText Understanding with the Attention Sum Reader...2016-03-04Code
13MemNNs (ensemble)69.4NoTeaching Machines to Read and Comprehend2015-06-10Code
14Classifier67.9NoA Thorough Examination of the CNN/Daily Mail Rea...2016-06-09Code
15Impatient Reader63.8NoTeaching Machines to Read and Comprehend2015-06-10Code
16Attentive Reader63NoTeaching Machines to Read and Comprehend2015-06-10Code