| 知识抽取中的嵌套向量分词技术 |
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| 引用本文： | 化柏林,赵亮.知识抽取中的嵌套向量分词技术[J].现代图书情报技术,2007,2(7):50-53. |
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| 作者姓名： | 化柏林 赵亮 |
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| 作者单位： | 中国科学技术信息研究所,北京,100038 |
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| 摘 要： | 向量分词算法已经比较成熟，通过在知识抽取过程中实现向量分词算法，对向量切分中的关键技术进行归纳总结，同时发现一趟向量切分的不足，并针对这些不足，设计嵌套的向量分词技术。实验证明，在知识抽取过程中，采用嵌套的向量切分方法，不但切分准确率高、切分全面，而且能从根本上解决“词中有词”的问题，有利于后续的句法分析。
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| 关 键 词： | 最大向量法 词法分析 分词技术 嵌套向量分词 |
| 收稿时间： | 2007-05-11 |
| 修稿时间： | 2007-05-112007-05-22 |
Nested Vector Segmentation Technique in Knowledge Extraction |
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| Hua Bolin,Zhao Liang.Nested Vector Segmentation Technique in Knowledge Extraction[J].New Technology of Library and Information Service,2007,2(7):50-53. |
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| Authors: | Hua Bolin Zhao Liang |
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| Institution: | Institute of Scientific and Technical Information of China, Beijing 100038, China |
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| Abstract: | Well-known algorithm of maximum matching method is implemented in the process of knowledge extraction,and drawn a conclusion about critical techniques of vector segmentation.Nested vector segmentation is designed and implemented on account of disadvantage of once scanning.According to experiment,nested vector segmentation is used in knowledge extraction,it not only improves precision and recall,which resolves the problem of word in word radically,but also provides convenience to following syntactic analysis. |
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| Keywords: | Knowledge extraction Maximum matching method Lexical analysis Segmenting technique Nested vector segmentation |
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