There is evidence that address matching plays a crucial role in many areas such as express delivery, online shopping and so on. Address has a hierarchical structure, in contrast to unstructured texts, which can contribute valuable information for address matching. Based on this idea, this paper proposes a novel method to leverage the hierarchical information in deep learning method that not only improves the ability of existing methods to handle irregular address, but also can pay closer attention to the special part of address. Experimental findings demonstrate that the proposed method improves the current approach by 3.2% points.

翻译：有证据表明，地址匹配在快递、网购等多个领域发挥着关键作用。与无结构文本不同，地址具有层次结构，这能为地址匹配提供有价值的信息。基于这一思路，本文提出了一种新颖的方法，旨在深度学习方法中利用层次信息，该方法不仅能提升现有方法处理不规则地址的能力，还能更加关注地址中的特殊部分。实验结果表明，所提方法将现有技术的性能提升了3.2个百分点。