SQuAD reading comprehension deep learning model
نویسندگان
چکیده
We introduce a neural network model for reading comprehension using the SQuAD dataset. Our model is composed of a Dynamic Coattention Network encoder (Xiong et al. [2016]) and a novel decoder designed for runtime minimization. Our model obtained an F1 score of 52.283 when tested on the SQuAD dev set, and an exact-match score of 38.723.
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تاریخ انتشار 2017