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An Effective Resolution Method of Chinese Multi-category Words with Conditional Random Field in Electronic Commerce

机译:具有条件随机场的电子商务中中文多类别词的有效解析方法

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摘要

Most existing recognition methods of multi-category words merely focus on the area of traditional Chinese words rather than the area of electronic commerce. In this paper, we propose an effective method on how to recognize Chinese multi-category words in electronic commerce using Conditional Random Field. Experimental results show that our method remarkably enhances the accuracy of the recognition, reduces the misunderstanding and improves the user experience of electronic commerce retrieval.
机译:现有的大多数对多类别单词的识别方法仅集中在繁体中文单词的领域,而不是电子商务领域。本文提出了一种有效的利用条件随机场识别电子商务中的中文多类别词的方法。实验结果表明,该方法显着提高了识别的准确性,减少了误解,提高了电子商务检索的用户体验。

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