基于关联规则挖掘的汉语语义搭配规则获取方法

针对自然语言处理系统在短语分析时的词汇排歧和结构排歧需要,本文提出了一种基于语料库的汉语短语语义搭配规则自动获取方法. 该方法以《知网》为语义知识资源,在标注了句法语义信息的汉语短语熟语料库基础上,先采用数据挖掘中元规则制导的交叉层关联规则挖掘方法,自动发现汉语短语的语义搭配规律,再根据统计结果自动优选后生 成语义搭配规则库. 实验结果表明该方法是切实可行的. 运用该方法自动获取的语义搭配规则具有较好的排歧效果.国家自然科学基金(60373080

Application of Improved Feature Selection in Text Categorization System

在介绍文本分类的背景及传统基于向量空间模型特征选择不足之处的同时,提出了不同特征选择方法相结合的文本分类模型.该模型首先对文本进行分析,把文本表示成向量空间的形式.文本在经过预处理后,按一定规则提取关键词,关键词的提取中增加了对名词短语的识别.特征选择的方法上,结合了文档频数和互信息量,并对他们进行了改进.实验结果表明,使用新方法进行分类所得到的分类精度得到了一定的提高.A new text categorization system using composite feature selection method was designed.Texts are described in the form of Vector Space Model through model analysis.After pretreatment for texts, which include noun phrase were extracted on the basis of rules from texts.On feature selection,document frequency was combined with mutual information,and performance was improved.Experiments show that the precision of text categorization is improved through using new method

Research on Collaborative and Synchronous Mechanism of the Shared Whiteboard in Multimedia Network Class

该文首先提出了一种计算机支持的协同工作应用系统的基本模型,接着引入了CSCW系统的协作机制和相关的同步方法,最后,将上述介绍的协作机制和同步控制方法应用到多媒体网络教室的电子白板设计中,取得了良好的效果。This paper presents the basic architecture of CSCW(Computer Supported Cooperative Work)application at first.Then some issues on collaborative and synchronous mechanism such as concurrency controlling and synchronization are discussed.The implementation of the shared whiteboard based on the collaborative and synchronous mechanism is given

A General Purpose Parser Generator For Natural Language Processing Based on Functional UniFication

阐述一个基于合一算法的高效的通用型语法分析器系统的设计原理和方法.着重说明：一种基于功能文法的语法规则的表示形式；基于树的合一算法的原理及其分析；以及如何使系统既具有运行的高效性又具有调试的方便性的总体设计方案.A design scheme For a general purpose parser generator is presented.The principle of the system design is based on the Formalism of Lexicon Functional Grammar and a Tree UniFicational algorithm.To strengthen the Functionality of the system, the system is divided into two subsystems in this design: a testing environment and operational environment, both of which adopt similar but diFFerent control schemes, so that they can obtain diFFerent design goals at the same time keep their cooperation very well.福建省自然科学基

Chinese Sentence Generation Directly Based on Semantic Representation

给出一种基于知识机器翻译系统的中文句子的生成方法.这种方法根据中文的特点，从语义的中间语言表达式直接生成中文短语或句子，因此省却了中间语言到句法结构的变换步骤，简化了生成过程.This paper presents a technique For generating Chinese sentences From the interlingua used in a knowledge based machine translation project, KANT.Based on the Features of Chinese language and a uniFication based generation Formalization, it generates Chinese sentences or phrases directly From the semantic representation, which eliminates the need For intermediate syntactic structures and simpliFies the generation procedure

An Algorithm For Computing FIRST SetBased on Directed Graph

引入文法的首符集图概念，据此提出一种求解上下文无文法fIrST集合的有效算法.The FIRST Set Graph is deFined, and an eFFicient algorithm For computing contextFree grammar′s FIRST set based on the graph is presented.福建省自然科学基

The Construction Method of LR Parsers Inserted with Semantic Actions

拓广lr分析方法，给出一种在lr分析表中嵌入语义动作的构造方法，对于那些可以在自底向上分析的同时完成求值的语法制导翻译描述，一般不必引入标记非终结符号即可完成对它们的分析和求值，可用于构造更为易用和有效的编译器生成工具.An augment LR parsing methods is presented which inserts semantic actions into LR parsing tables.For the descriptions of syntax directed translations that can be evaluated during parsing, it is usually not necessary to use marker nonterminals for the evluations.Therefore, the method can be used to construct compiler generators which are more efficient and easier to be used

A Module of Automatic Chinese Documents Classification Based on Concept

文章提出一个电子文档的自动分类的模型:基于《知网》之上,经过对文档的关键词的抽取和排歧,进而得到关键词的概念,再对关键词的概念进行综合而得到该文本所属的类别,实验证明该模型有较好的效果。This paper presents a module of automatic Chinese documents classification.After gettin

A Text Filtering Module Based on Concept-expanded

该文在介绍文本过滤的背景及向量空间模型的同时,提出了基于语义词典对用户模板进行扩充的文本过滤模型,该模型首先对文本进行分析,把文本表示成向量空间中的向量形式,在形成用户初始模板之后,对用户模板进行同义词扩充,形成扩充后的用户模板,以此模板来进行文本过滤。在用户反馈的基础上,自适应地修改该模板,以适应用户变化的需求及改善系统过滤性能。实验表明,这样的确可以提高系统覆盖面,提高系统效率。In this paper we first give some information about the text filtering and VSM(Vector Support Machine),then we introduce a model that build a concept-expanded-based profile.We use this concept-expanded profile to sift the information which may be of the user's interest.In the model,the profile is represented as a vector in the vector space.We use the synsets in WordNet to expand the profile automatically.The enrichment of profile with semantically-related terms can enhance recall,as it permits matching relevant text that could not contain any of the old profile terms.A filtering system should be able to adapt to user's interest changes,so we automatically modify the user model to recognize the changes.Experimental results show that the methods can improve the text filtering performance.国家863高技术研究发展计划项目(编号:2001AA114110);; 福建省科技计划重点项目(编号:2001H023