COMPUTATION OF PROBABILISTIC RELATIONSHIP BETWEEN CONCEPTS AND THEIR ATTRIBUTES USING A STATISTICAL ANALYSIS OF JAPANESE CORPORA
COMPUTATION OF PROBABILISTIC RELATIONSHIP BETWEEN CONCEPTS AND THEIR ATTRIBUTES USING A STATISTICAL ANALYSIS OF JAPANESE CORPORA
复制标题
利用日语语料库的统计分析计算概念及其属性之间的概率关系
DOI：
10.1016/j.cogsys.2007.01.001
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发表时间：
2005
影响因子：
3.9
通讯作者：
Yoshitaka Kameya
中科院分区：
文献类型：
--
作者：
Yoshitaka Kameya
在本文中，我们描述了语义聚合模型（SAM），词共现的生成概率模型。我们也重新制定其统计学习算法，并提出了一个实验结果，使用日语语料库。实验结果表明，SAM能有效地提取出与概念某些方面相关的词汇。
In this paper, we describe Semantic Aggregate Model (SAM), a generative probability model for word co-occurrences. We also reformulate its statistical learning algorithm, and present an experimental result using a Japanese corpus. The result shows that SAM effectively extracts relevant words to some aspects of our concepts.