摘要
在知识抽取的分词过程中,需要提前把停用词标引出来。停用词处理的关键在于停用词的认定、停用词表的获取与组织技术以及停用词匹配技术。停用词的识别常常需要停用词表,识别过程中需要判断假停用词以降低噪声。实验表明,对停用词进行单独处理可以大大加快词语切分速度以及后续的句法分析归约速度。
It is indispensable to index stop - word before word segmentation in knowledge extraction. The key technique of processing stop - word is how to select stop - word, acquire and organize stop - word lists, and match stop - word. To recognize stop -word, constructing stop -word list is necessary. In processing stop -word, recognizing false stop -word can decrease noise. According to experiment, processing stop -word can not only save segment time, but also improve following syntactic analysis efficiency.
出处
《现代图书情报技术》
CSSCI
北大核心
2007年第8期48-51,共4页
New Technology of Library and Information Service
关键词
知识抽取
停用词
中文分词
自然语言处理
文本信息分析
Knowledge extraction Stop -word Chinese segmentation Natural language processing Text information analysis
