论文标题
问题定向图表网络，用于文本的数值推理
Question Directed Graph Attention Network for Numerical Reasoning over Text
论文作者
论文摘要
关于文本的数值推理，例如加法，减法，排序和计数，是一项具有挑战性的机器阅读理解任务，因为它需要自然的语言理解和算术计算。为了应对这一挑战，我们为此类推理所需的段落和问题的上下文提出了一个异质图表示，并设计了一个有针对图的图形注意网络，以在此上下文图上驱动多步数数值推理。代码链接在：https：//github.com/emnlp2020qdgat/qdgat
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
