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SotA/Natural Language Processing/Question Answering/SemEvalCQA

Question Answering on SemEvalCQA

Metric: P@1 (higher is better)

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#Model↕P@1▼Extra DataPaperDate↕Code
1HyperQA0.809NoHyperbolic Representation Learning for Fast and ...2017-07-25Code
2ConvKN0.755No---
3AP-CNN0.755NoAttentive Pooling Networks2016-02-11Code
4ARC-II0.753NoConvolutional Neural Network Architectures for M...2015-03-11Code
5Kelp0.751No---