An Empirical Study of Chinese Name Matching and Applications
TL
TL;DR
This work evaluates methods for name matching in Chinese, including both string matching and learning approaches, based on new representations for Chinese, which improves both name matching and a downstream entity clustering task.
Abstract
Methods for name matching, an important component to support downstream tasks such as entity linking and entity clustering, have focused on alphabetic languages, primarily English. In contrast, logogram languages such as Chinese remain untested. We evaluate methods for name matching in Chinese, including both string matching and learning approaches. Our approach, based on new representations for Chinese, improves both name matching and a downstream entity clustering task.
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