In order to solve the problem caused by sparse data two concepts of modificatory degree and modificatory distance are proposed. The further application to clustering Chinese adjectives and nouns demonstrates the algorithm is effective.
为了减小数据稀疏的影响 ,又提出了修饰度的与修正距离的概念。
参考来源 - 基于搭配对的汉语形容词·2,447,543篇论文数据，部分数据来源于NoteExpress
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