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NumNet: Machine Reading Comprehension with Numerical Reasoning

10/15/2019
by   Qiu Ran, et al.
0

Numerical reasoning, such as addition, subtraction, sorting and counting is a critical skill in human's reading comprehension, which has not been well considered in existing machine reading comprehension (MRC) systems. To address this issue, we propose a numerical MRC model named as NumNet, which utilizes a numerically-aware graph neural network to consider the comparing information and performs numerical reasoning over numbers in the question and passage. Our system achieves an EM-score of 64.56 existing machine reading comprehension models by considering the numerical relations among numbers.

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