Word Sense Guessing: A Knowledge Graph based Approach

Yiming Wei, Zhi-Yong Peng, Tan Dai
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Abstract

In order to tackle issues of traditional corpus, such as low updating rate, we propose a novel corpus based on Knowledge Graph. In this paper we do experiments that are particularly designed to use one specific sense guessing model. This paper also compares the results of experiments which are respectively based on traditional and novel ones.
词义猜测:基于知识图谱的方法
针对传统语料库更新速度慢的问题,提出了一种基于知识图谱的新型语料库。在本文中,我们做了专门设计的实验,使用一个特定的感觉猜测模型。并对基于传统方法和基于新方法的实验结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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