【摘 要】
：
文本层次分类中阻塞现象是影响层次分类器性能的重要原因.针对这一问题,提出基于阻塞先验知识的文本层次分类模型.该模型包括两部分:首先对阻塞分布进行估计,提出"阻塞对"识
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文本层次分类中阻塞现象是影响层次分类器性能的重要原因.针对这一问题,提出基于阻塞先验知识的文本层次分类模型.该模型包括两部分:首先对阻塞分布进行估计,提出"阻塞对"识别技术,重点在于获取严重的阻塞方向;其次,把分析出的阻塞先验知识融合到分类过程中,利用层次拓扑结构修正算法,引导阻塞文本"回归"正确分类路径.在中文语料TanCorp上的实验表明,该算法在没有额外增加分类器数目的前提下,能有效改善层次分类性能,是解决层次分类阻塞问题的一种方法.另外,与平面分类算法比较后,该算法更稳定.
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