A class-weighted voting ensemble of BiDAF, QANet, and Mnemonic Reader reports F1 81.96 and EM 73.77 on the SQuAD dev set, marginally above Mnemonic Reader's 81.57 and 73.25.
Dynamic Coattention Networks For Question Answering
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Ensemble approach for natural language question answering problem
A class-weighted voting ensemble of BiDAF, QANet, and Mnemonic Reader reports F1 81.96 and EM 73.77 on the SQuAD dev set, marginally above Mnemonic Reader's 81.57 and 73.25.