A segmentation algorithm without dictionary based on network-oriented natural language question answering system is proposed. 提出了一种面向网络答疑系统的无词典分词方法。
Study on complex question analysis method of question answering system 问答系统中复杂类问题的分析方法研究
Research of Answer Extraction in Question Answering System Based on Admission Counseling 基于招生咨询域的问答系统中答案抽取的研究
Question Answering System Based on Frequently Asked Questions Using Co-Occurrence Word Model 基于词共现模型的常问问题集的自动问答系统研究
Question answering system can provides a precise and concise answer to a natural language query. 摘要问答系统应能用准确、简洁的答案回答用户用自然语言提出的问题。
Research and Design of the Automatic Question Answering System Based on Lucene 基于Lucene的自动答疑系统的研究与设计
A Definitional Question Answering System Based on Dependency Relation 基于依赖关系的定义类问题回答系统
In the end, this paper introduced the application of the algorithm in Question Answering System ( QAS). 最后,介绍了该算法在中文问答系统中的具体应用。
Research and Implementation of Question Answering System Based on Dynamic Ontology Knowledge Base 基于动态本体知识库的问答系统的研究与实现
Research on Chinese Question Answering System Based on Semantic Role Labeling 基于语义角色标注的中文问答系统研究
Research and Realize of Chinese Question Answering System Based on Fact Questions 基于事实性问题中文问答系统的研究与实现
Research on segmentation algorithm without dictionary based on natural language question answering system 基于自然语言网络教学答疑中无词典分词算法的研究
Question answering system in network education based on chaptered ontology and transfer network 基于章节本体和转移网络的自动答疑系统
The Development and Realization of Chinese Intelligent Question Answering System 中文智能答疑系统相关技术的研究与实现
Research on the Key Technology of Automatic Question Answering System Based on Domain Ontology 基于领域本体的自动问答系统关键技术研究
Research of Network Intelligent Question Answering System Based on Multi-Agent 基于多Agent的网络智能答疑系统的研究
Research on HNC Theory and Random Fuzzy and Their Application in Question Answering System HNC理论和随机模糊在问答系统中的应用研究
The Study of Recognition and Classification of Entity for Question Answering System 面向问答系统的实体识别与分类研究
With the popularization of network and the demand of society development, IQAS ( intelligent question answering system) become one of the hotspots in the research. 随着网络的普及,以及社会发展的需要,智能答疑系统成为研究的热点之一。
Application on K-means Text Clustering Algorithm in Intelligent Question Answering System K-均值文本聚类算法在智能答疑系统中应用
Research on Chinese question answering system is presented in this paper. 介绍了有关中文问答系统的一些研究。
It gives a general system architecture of Open Domain Question Answering System and analyzes the component of the it such as question analysis, information retrieval, answer generation. 提出了系统的一般结构,并对系统中问题分析、信息检索、答案生成各部分功能步骤进行了总结和分析。
A knowledge base with self-contained functions and knowledge can consumedly improve efficiency and accuracy of a question answering system. 一个功能和知识完备的知识库能够大大提高问答系统的效率与准确率。
Study of Search Technology in Intelligent Question Answering System 智能答疑系统中搜索技术的研究
Accomplish the question answering system by using J2EE framework to validate the design strategy and program. 采用J2EE技术架构对系统进行实现,从而对系统的设计策略与技术方案进行验证。
Question answering system is a prerequisite for processing. 问题理解是问答系统进行处理的前提。
This paper, base on open domain question answering system, focuses on the research of question classification, fact questions answer extraction and definition question answer extraction. 本文基于开放域问答系统,重点研究了问题理解的问题分类技术以及事实性问题和定义性问题的答案抽取技术。
The title analysis is mainly used in the titles in question answering system. 本文阐述了基于实体-属性框架的标题分析的应用,主要用于对问答系统中的标题进行分析。
Through simulation experiments, analyze and verify the feasibility and intelligent question answering system effectiveness. 通过进行仿真实验,分析并验证了智能答疑系统的时效性和准确性。
With the deep research on theory and application of ontology, an increasing number of research institutes and academics try to apply ontology to information retrieval and intelligent question answering system. 随着对本体的理论和应用方面研究的深入,越来越多的研究机构和学者尝试将本体应用到信息检索和智能答疑系统中。