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arXiv · 2009.07448

Question Directed Graph Attention Network for Numerical Reasoning over Text

Kunlong Chen·Weidi Xu·Xingyi Cheng·Zou Xiaochuan·Yuyu Zhang·Le Song·Taifeng Wang·Yuan Qi·Wei Chu
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Abstract

Numerical reasoning over texts, such as addition, subtraction, sorting and counting, is a challenging machine reading comprehension task, since it requires both natural language understanding and arithmetic computation. To address this challenge, we propose a heterogeneous graph representation for the context of the passage and question needed for such reasoning, and design a question directed graph attention network to drive multi-step numerical reasoning over this context graph. The code link is at: https://github.com/emnlp2020qdgat/QDGAT

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Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu. 2020-09-16. Question Directed Graph Attention Network for Numerical Reasoning over Text. https://arxiv.org/abs/2009.07448

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