基于共聚类方法的动词同义词提取

Koichi Takeuchi
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引用次数: 8

摘要

本文描述了一种基于图的共聚类方法,适用于从大规模文本中提取动词同义词。本文提出的二部图算法考虑了动词和其论点之间的词共现性,既可以生成动词同义词簇,也可以生成名词同义词簇。实验结果表明,该方法比基于向量的单一聚类方法具有更高的准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extraction of Verb Synonyms using Co-clustering Approach
This paper describes that a graph-based co-clustering approach is suitable for extraction of verb synonyms from large scale texts. The proposed bipartite graph algorithm can produce clusters of verb synonyms as well as noun synonyms taking into account word co-occurrence between verb and its argument. Experimental results show that the co-clustering approach achieve higher accuracy than those by a vector-based single clustering approach that are usually used for construction of thesaurus.
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