NumNet: Machine Reading Comprehension with Numerical Reasoning [article]

Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu
2019 arXiv   pre-print
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
more » ... 6% on the DROP dataset, outperforming all existing machine reading comprehension models by considering the numerical relations among numbers.
arXiv:1910.06701v1 fatcat:p5ntlou32vc7hhdtz2zrz2d25y