One of the most important directions is Question Answering system.
其中一个很重要的方向就是问答系统。
Question classification is the basis of a question-answering system.
问题分类是问答系统处理的基础。
Secondly we briefly introduce distant education and answering system.
其次介绍了远程教育和远程教育中的答疑系统。
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。
Answer validation is one of the most important stages in question answering system.
答案确认是问答系统中的关键环节之一。
This paper introduces semantic computation into our Chinese Question-Answering system.
该文在中文问题回答系统中引入了语义计算。
This paper focuses on some kernel techniques on Intelligent Question answering system.
本文围绕智能答疑系统一些关键技术进行了研究分析。
I "m sure you will love what this new automated answering system can do for your business."
我相信这一套最新自动答录系统会给贵公司的业务带来很多好处。
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。
In the end, this paper introduces the application of the algorithm in Chinese question answering system.
文章的最后，介绍了本算法在中文问答系统中的具体应用。
Question Answering system is an advanced form of information retrieval, as well as a hot topic of this field.
问答系统是信息检索的高级形式，也是该领域的研究重点和热点。
That is why most systems only use words, part of speech and syntactic relations in question answering system.
所以，大部分问答系统只采用词、词性、句法关系等信息。
A model of question answering system is put forward based on ontology. The building of the domain is introduced.
提出了一种基于本体的自动问答系统模型，对领域知识本体的构建进行了研究。
This paper mostly researches Chinese word segmentation, because it is a basal place in intelligent answering system.
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 phone system is equipped with an all-digital answering system for quick, easy retrieval of crystal-clear messages.
该电话配有全数字应答系统，留言快速清楚、且方便检索。
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。
Question answering system is composed of three parts which is question analysis, information retrieval and answer extraction.
问答系统由问题理解、信息检索、答案抽取三个部分组成。
Question understanding is an important part of Question Answering system, especially to the Cooperate Question Answering system.
问题理解是问答系统中的重要组成部分，尤其对于协作式问答，用户对所提出的问题进行了详细的说明、描述。
Question Answering System (QAS) is both high-level form of information retrieval and research emphasis and hotspot in this field.
问答系统是信息检索的高级形式，也是该领域的研究重点和热点。
In general, a Question Answering system is made up of three parts: Question Analysis, Information Retrieval and Answer Extraction.
自动问答系统一般包括三个主要组成部分：问题分析、信息检索和答案抽取。
Answer ranking is one of the key technologies in the question answering system, and the confidence score is used to rank the answers.
答案排序是问题回答中的关键技术之一，它通过计算答案的置信度来对候选答案进行排序。
Then semantic roles of sentences are used in answer extraction of the question answering system, and it improves the system's accuracy.
然后将语义角色信息用于问答系统的答案抽取中，提高了问答系统的精度。
A new remote answering system which combines the functions of manual answering, intelligent answering and united answering, is proposed.
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。
Then we employ Bayesian classifier to classify these questions. Answer extraction is the most crucial part for question answering system.
本文采用贝叶斯分类器，提取问句主干以及包含疑问词的分支作为特征进行问题分类。
Compared to traditional search engines, Automatic Question Answering System is theoretically better to meet the needs of the user's search.
与传统的搜索引擎相比，自动问答系统在理论上能够更好地满足用户的检索需求。
This thesis aims to research how to use the semantic information of domain ontology to improve the performance of Question Answering System.
本文旨在探索如何使用领域本体的语义信息来提升自动问答系统的性能。
Question answering system can give users precise answer to the question presented in natural language by using natural language processing technique.
问答系统通过采用自然语言处理技术，用简洁准确的语言回答用户用自然语言提出的问题。
This method can be combined to the automatic question answering system and some game domain's systems easily, and the application prospect is bright.
此方法易于结合到自动问答系统以及一些游戏领域的系统中，应用前景明朗。
The experiment results indicate that this algorithm is effective, and can solve the problem of pattern reasoning in Chinese question answering system.
实验结果表明，本算法可以有效的解决中文问答系统的模式推理问题。
The experiment results indicate that this algorithm is effective, and can solve the problem of pattern reasoning in Chinese question answering system.
实验结果表明，本算法可以有效的解决中文问答系统的模式推理问题。
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