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基于依存分析和贝叶斯网络的无指导汉语词义消歧 被引量:3

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摘要 采用基于依存分析改进贝叶斯网络的无指导的机器学习方法对汉语大规模真实文本进行词义消歧实验。该学习算法充分利用依存文法分析确定能够对词语词义构成内在限制的上下文,有效地克服了简单贝叶斯分类器中无关上下文造成的噪声影响。实验结果证明基于依存改进的贝叶斯模型在汉语词义消歧上表现良好,开放测试正确率可达86.27%。
出处 《高技术通讯》 EI CAS CSCD 2004年第2期7-11,共5页 Chinese High Technology Letters
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共引文献35

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