研究了智能答疑系统中的问题分类。
Research of intelligent question answering model based on ontology;
其次介绍了远程教育和远程教育中的答疑系统。
Secondly we briefly introduce distant education and answering system.
提出了一种面向网络答疑系统的无词典分词方法。
A segmentation algorithm without dictionary based on network-oriented natural language question answering system is proposed.
本文围绕智能答疑系统一些关键技术进行了研究分析。
This paper focuses on some kernel techniques on Intelligent Question answering system.
并通过一个具体的实例介绍了智能答疑系统的功能与特点。
It introduces the intelligent system's functions and characters by an example.
摘要：构建知识库是搭建分布式环境下智能答疑系统平台的关键环节。
Absrtact: a distributed intelligent question answer system is a platform sharing resource among the sites.
在答疑系统中为了能够快速匹配问题，可以建立适当的分类和索引机制。
To increase matching speed, there should be an appropriate classification and index techniques.
针对以上缺点，本文给出一个应用语义网络原理构筑起来的智能答疑系统。
To solve this problem, this paper presents an agent-based intelligent tutoring system by applying the semantic-net principle.
构建了一种集人工答疑、智能答疑和联合答疑于一体的新型远程答疑系统。
A new remote answering system which combines the functions of manual answering, intelligent answering and united answering, is proposed.
作者阐述了自动答疑系统的优势和设计，重点对系统各功能模块进行了介绍。
The authors introduced the advantages and design of answer web, and focused on each function module in this article.
提出基于FAQ自动问答技术来构建网校自动答疑系统，完成系统设计与开发。
This paper put forward a method of automatic question-answering system based on FAQ technology for net-schools and described the design and implementation of the system.
最后，给出方法类答案获取的实现及其在自然语言智能网络答疑系统中的应用。
Finally, this paper gives the implementation of acquiring answers to method type questions as well as the application in natural language intelligent network question Answering system.
目前，该方法已经用于基于自然语言的智能网络答疑系统中，并取得了较好的效果。
The innovative solution has been already applied to the natural language intelligent network Question Answering system. The application achieved well results.
课程制作包括页面设计、导航设计、交互设计、评价设计、答疑系统和资源库的设计等。
Course exploitation includes design of page, the design of navigation, interactive, estimate, explaining of question and resource.
课题重点研究了网络考试系统中智能组卷的方法和实时、非实时网络答疑系统的实现途径。
The item study the methods of composing test paper of exam on web and the way to realize real-time or unreal-time answer system.
因此，结合网络优势，研究和开发富有特色的网络答疑系统就成为了解决问题的有效途径。
Thus, taking the advantage of network Resigning and developing characteristic network-based answering system become the effective way of solve the problem.
本文就基于WWW方式的答疑系统的功能及实现方法进行了讨论，并给出了实际的解决方案。
This article discusses function and realization method of the suspect-replying system based on WWW, and also presents the practical solving measure.
其次，在文中还以较大的篇幅分析了远程网络教学中辅导答疑系统的现状和存在的技术问题。
Second, the passage analyzed long-range network teaching help reply system about current circumstance and exhausted technical problem through long space.
本系统模型实现了答疑系统的语义理解，提高了现有网络答疑系统的效率，并具有一定的智能性。
The system model realizes semantic understanding of Question Answer system improving efficiency of the present Question Answer system and with certain intelligence.
它是中文智能答疑系统的一项基本性技术，可以说，没有分词技术任何中文答疑系统都不具有智能性。
This paper mostly researches Chinese word segmentation, because it is a basal place in intelligent answering system.
文章首先构造了自动答疑系统架构，改进了中文分词算法，并利用领域本体库和语句相似度设计了该系统。
In this paper, we first construct the system architecture, improve the Chinese text segmentation algorithm, then, by making use of domain ontology base and sentence similarity, design the system.
本文首先指出了答疑在远程教育中所处的地位，答疑系统的完善与否是衡量远程教育是否成功的一个重要因素。
Firstly we discuss the position of answering in distant education - a sound answering system is a mandatory factor to make a successful distant education.
为了解决答疑系统在答疑过程中遇到的这些问题，本文设计了一个依托初中历史学科的基于移动技术的答疑系统。
To address these problems with Question and Answer System, the author designs a Question and Answer System relies on junior high school history, which is based on the mobile learning platform.
答疑系统主要提供了一个让师生、生生进行课下解疑答惑的渠道：通过对常见问题库的浏览和查询实现自我解惑；
The self motivated study style can be achieved by searching in the library of common questions, online and offline discussion through BBS and virtual chat room.
利用当前比较先进的自然语言分析技术、全文检索技术、数据挖掘技术等，设计了比较全面的网络课程的智能答疑系统。
Using the present advanced technologies such as nature language, full-text searching and data mining, this paper designed a full-round intelligent question-answer system of network course.
在此基础上提出了一个智能答疑系统的结构模型，主要介绍系统中FAQ库的自动形成机制，并给出系统中的关键实现技术。
It presents the structural model of a new intelligent answer-question system, introduces the automatic formation mechanism of the FAQ library, and gives the key techniques of realization.
自动答疑是现代远程教学系统中一个重要组成部分，然而目前的自动答疑系统大多以关键词匹配为基础，忽视了关键词本身所含的语义信息、查询效率和结果不能满足用户的需要。
The question answer system is the important part of the Distant Education. However mostly the current system is just based on matching and ignores the semantic information of the keywords itself.
该系统包括了教学课件、网上虚拟实验室、习题测验、答疑、考试等全部教学环节在内的功能模块。
This system contains all function modules of whole teaching processes such as teaching courseware, virtual laboratory on the network, exercises testing, answer questions, examination and so on.
系统主要由四个子系统组成：信息管理子系统、网络授课子系统、网络答疑子系统及网络考试子系统。
This system mainly consists of four pieces of module: information management subsystem, network teaching subsystem, network answering questions subsystem and network examination subsystem.
可见，答疑子系统的研发是现代远程教学的重要环节，对实现高质量的网上教学具有深远意义。
So the development and research of answering subsystem is an important part in the modern remote teaching.
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