Research on Semantic Disambiguation of Human-Machine Dialogu

发布时间：2021-04-19 18:50

　　Natural language understanding is the first step to realize human-machine dialogue.In the human-machine dialogue system,mature word segmentation dictionary ensures the correct segmentation of natural language and avoids the problem of semantic ambiguity caused by word segmentation ambiguity.However.,there are still two problems in word segmentation dictionary in human-machine dialogue system at present:1.the structure of word segmentation dictionary and the generalization of dictionary content;2... 

【文章来源】：华中师范大学湖北省 211工程院校 教育部直属院校

【文章页数】：78 页

【学位级别】：硕士

【文章目录】：
Acknowledgements
Abstract
Chapter 1 Introduction
    1.1 Research background
    1.2 Natural language understanding
    1.3 Problem raised
    1.4 Thesis structure and innovation points
Chapter 2 Overview of relevant theories
    2.1 Human-machine dialogue
        2.1.1 Basic concepts and development status of human-machine dialogue
        2.1.2 Four modes of human-machine dialogue
    2.2 Dictionary-based word segmentation technology
        2.2.1 The concept and development status of the word segmentation dictionary
        2.2.2 Dictionary-based word segmentation method
    2.3 Word segmentation dictionary
        2.3.1 Construction method of word segmentation dictionary
        2.3.2 Structure of the word segmentation dictionary in memory
Chapter 3 Comparative analysis of word segmentation performance
    3.1 Structure of the word segmentation dictionary
    3.2 Typical word segmentation dictionary structure
        3.2.1 Word segmentation dictionary mechanism based on the whole worddichotomy
        3.2.2 Word segmentation dictionary mechanism based on TRIE index tree
        3.2.3 Word segmentation dictionary mechanism based on each word dichotomy
        3.2.4 Dictionary mechanism based on double word hash index
    3.3 Dictionary analysis and comparison
        3.3.1 Experimental environment and data
        3.3.2 Conclusion
Chapter 4 Construction and optimization of subject dictionary
    4.1 Construction of double word hash word segmentation dictionary
        4.1.1 Dictionary function design
        4.1.2 Algorithm design of the dictionary
    4.2 Construction of domain corpus
    4.3 Optimization of subject dictionary
        4.3.1 Maximum inverse matching principle
        4.3.2 Parallel segmentation ambiguity resolution rules
    4.4 Comparison of experimental results
        4.4.1 Experimental data and evaluation criteria
        4.4.2 Analysis of results
Chapter 5 Application of subject dictionary in human-machine dialogue
    5.1 Definition of human-machine dialogue system
    5.2 Structure of human-machine dialogue system
    5.3 Implementation of human-machine dialogue system
    5.4 Analysis and comparison of results
Chapter 6 Summary and prospect
Reference
Appendix


【参考文献】：
期刊论文
[1]基于Hash结构的逆向最大匹配分词算法的改进[J]. 丁振国,张卓,黎靖.  计算机工程与设计. 2008(12)
[2]面向信息检索的自适应中文分词系统[J]. 曹勇刚,曹羽中,金茂忠,刘超.  软件学报. 2006(03)
[3]基于二字词位图表的汉语自动分词词典机制[J]. 蒋斌,杨超,赵欢.  湖南大学学报(自然科学版). 2006(01)
[4]基于有向图的双向匹配分词算法及实现[J]. 陈耀东,王挺.  计算机应用. 2005(06)
[5]一种中文分词词典新机制——双字哈希机制[J]. 李庆虎,陈玉健,孙家广.  中文信息学报. 2003(04)
[6]基于知识的文本摘要系统研究与实现[J]. 孙春葵,李蕾,杨晓兰,钟义信.  计算机研究与发展. 2000(07)
[7]中文文本过滤的信息分流机制[J]. 林鸿飞,李业丽,姚天顺.  计算机研究与发展. 2000(04)
[8]面向特定领域的理解型中文自动文摘系统[J]. 李蕾,钟义信,郭祥昊.  计算机研究与发展. 2000(04)
[9]基于概念的文本结构分析方法[J]. 林鸿飞,战学刚,姚天顺.  计算机研究与发展. 2000(03)
[10]基于篇章多级依存结构的自动文摘研究[J]. 刘挺,王开铸.  计算机研究与发展. 1999(04)



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