一种基于亲密度的同义词提取方法*

Ru Wang, W. Pan, Jinghui Ma, H. Wang
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引用次数: 1

摘要

本文提出了一个新的同义词抽取概念——亲密度。首先,我们找到前n个相似的单词,标记为A1…A的An,然后,找出A1 A2…的前n个相似的单词组,并根据A在这些词语组中出现与否和A出现的位置计算亲密度,从而得到最终的亲密度得分。最后,对最终的亲密度得分进行排序,得到a的前n个同义词。本文在维基百科数据集上进行测试,并与词相似度计算任务进行比较。实验结果表明,该方法在主客观评价方面均优于其他方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Synonym Extraction Method Based on Intimacy*
This paper proposes a new concept—intimacy for synonyms extraction. Firstly, we find the first n similar word labeled A1...An of the word A, and then, find the first n similar word groups of A1,A2...An respectively, and calculate the intimacy based on whether or not A appears in these word groups and the position A appears to obtain the final intimacy score. Finally, sort the final intimacy score and obtain the first n synonyms of A. In this paper, we test on Wikipedia dataset, and compare with word similarity computing tasks. Experiments show that the synonyms found by this method are higher than other methods both in subjective and objective evaluation.
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