Just as most of the natural language process technologies , the methods of ner have two classes , statistic - based and rule - based . considering of the limitation of using only one of the methods , we combined both of the methods to recognize named entity in this thesis . we combined the maching learning with ner to make the system get the ability of self - learning . we have done research on decision tree of maching learning mainly and designed a recognize model to recognize named entity . this model first used the probability and statistic way to extract the potential named entities , and then some context linguistic language information are employed in the model to recognize the named entities furtherly . as the wrong entites are denied , the recongnize effect has been improved 鉴于单独采用基于统计方法或基于规则方法的缺陷,在这篇论文中,采用了统计与规则相结合的方法来识别命名实体。为了使系统具有学习能力,我们把机器学习方法应用于中文命名实体的识别,这里我们着重研究了机器学习中的决策树方法在中文命名实体识别中的应用;设计了一种基于决策树的识别模式,该模式首先利用概率统计方法,在文本中尽量完备地识别出潜在的命名实体,然后利用潜在命名实体相关的上下文词法、语法和语义特征作为属性构建决策树,否定不正确的实体,进一步提高了命名实体识别的准确率。
By utilizing expert experience and language information , analyzing , modeling and control of many industrial complex plants can be handled effectively by fuzzy control technology , which otherwise will be very hard by approaches of traditional control theory , if not impossible . in addition , these complex plants can be controlled easily even without exact mathematical models , so fuzzy control has become a popular topic for analysis and design of complex nonlinear systems 传统控制理论难以解决复杂非线性系统分析、建模与控制问题,而模糊控制技术由于能够方便地利用专家经验及语言信息,甚至无需建立系统数学模型即可对系统进行控制,目前已逐渐成为复杂非线性系统分析与设计所采用的主要方法之一。
Once the computer system can realize some language information processing functions , such as man - machine dialogue , machine translation , automatic digest , or read aloud cadencedly and passionatly etc , the uninteresting atmosphere will be inevitably changed greatly in front of the screen of the computer , the applied environment of the computer will become more fascinating 一旦计算机系统实现了人机对话、机器翻译、自动文摘,或能够抑扬顿挫地、带有感情地朗读文章等语言信息处理功能,计算机屏幕前枯燥的气氛必然会大大改变,计算机的应用环境将变得更加引人入胜。