汉语语义相似度计算研究引入标点符号

Cheng Xian-yi, Sun Ping, Zhu Qian, Yue-Hong Cai
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引用次数: 8

摘要

到目前为止,大多数汉语自然语言处理都忽略了标点符号或将其功能过于简单化。为了提高汉语相似度计算的效率,本文针对汉语句子相似度计算方面的问题,提出了一个汉语相似度计算系统模型。该模型将标点符号与传统的相似度计算相结合。与基于余弦的相似度计算、基于词形和词序的句子相似度计算以及基于语义的句子相似度计算相比,该模型在一定程度上弥补了它们的不足。实验表明,该模型在汉语相似度计算中具有较高的准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Research of Chinese Semantic Similarity Calculation Introduced Punctuations
So far, most Chinese natural language processing neglects the punctuations or oversimplifies their functions. To improve the efficiency of Chinese similarity computing, this paper gives a Chinese similarity computing system model in accordance with the problems of Chinese sentence similarity computation aspect. This model is a combination of punctuations and traditional similarity computing. Comparing with Cosine-based Similarity calculation, the sentence similarity calculation based on word shape and word order, and Sentence similarity calculation based on semantic, this model makes up their insufficiency to a certain extent. The experiment shows that this model has a higher rate of accuracy in Chinese similarity computing.
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