Address Matching Based On Hierarchical Information
This work addresses address matching for applications like express delivery and online shopping, representing an incremental advance.
The paper tackled the problem of address matching by leveraging hierarchical information in addresses to improve deep learning methods, resulting in a 3.2% point improvement over current approaches.
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.