In this paper, we treat Chinese text chunking as a classification problem, and apply SVM to solve it.
本文将中文组块识别问题看成分类问题 ,并利用SVM加以解决。
参考来源 - 基于SVM的中文组块分析 in CThe system of text chunking in this thesis adopts a hybrid model, which combines rule-based method and statistical method.
我们实现组块分析的系统是采用统计与规则相结合的路线。
参考来源 - 汉语组块计算的若干研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Absrtact: Text chunking ACTS as critical function in the field of natural processing field.
摘要：文本语块识别在自然语言处理领域具有重要作用。
In this paper, we treat Chinese text chunking as a classification problem, and apply SVM to solve it.
本文将中文组块识别问题看成分类问题，并利用SVM加以解决。
The text chunking, as a preprocessing step for parsing, is to divide text into syntactically related non-overlapping groups of words (chunks), reducing the complexity of the ful.
文本组块分析作为句法分析的预处理阶段，通过将文本划分成一组互不重叠的片断，来达到降低句法分析的难度。
应用推荐