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

Question Directed Graph Attention Network for Numerical Reasoning over Text