该方法的实现将有效提高问答系统的实用性。
The method will efficiently improve the practicability of QA system.
问答系统中问句类型的判定与实体的识别紧密相关。
The judgement of question type is very related to entity recognition in QAS.
实验结果表明，基于模式匹配的中文问答系统是有效的。
The experimental results show that the Chinese question answer system based on pattern-matching is much effective.
本文设计并实现了一个基于常问问题库的中文问答系统。
In this paper, we describe the design and implementation of a question answer system based on FAQ (Frequently-asked question).
所以，大部分问答系统只采用词、词性、句法关系等信息。
That is why most systems only use words, part of speech and syntactic relations in question answering system.
问答系统由问题理解、信息检索、答案抽取三个部分组成。
Question answering system is composed of three parts which is question analysis, information retrieval and answer extraction.
本文主要研究了问答系统的问题理解与答案抽取两个部分。
This paper mainly focuses on question analysis and answer extraction. Question analysis includes question classification, keyword extraction and keyword expansion.
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。
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。
Question Answering system is an advanced form of information retrieval, as well as a hot topic of this field.
问答系统中包括三个主要的部分：问题理解，信息检索和答案抽取。
QA system contains three main procedures: question understanding, information retrieve and answer extraction.
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.
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。
This thesis aims to research how to use the semantic information of domain ontology to improve the performance of Question Answering System.
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。
Then semantic roles of sentences are used in answer extraction of the question answering system, and it improves the system's accuracy.
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。
This method can be combined to the automatic question answering system and some game domain's systems easily, and the application prospect is bright.
问答系统是集自然语言处理技术和信息检索技术于一身的新一代智能搜索引擎。
Question answering is the next generation of search engine which is related to natural language processing, information retrieval and etc.
本文“语句自动分类”的思想是在IT领域自动问答系统的研究中产生并形成的。
The idea of automatic sentence classification comes of the study on automatic QA system about IT domain.
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。
Compared to traditional search engines, Automatic Question Answering System is theoretically better to meet the needs of the user's search.
自动问答系统是集自然语言处理技术和信息检索技术于一身的新一代智能搜索引擎。
Question Answering (QA) is the next generation of search engine which is related to natural language processing, information retrieval and etc.
搜索引擎，要求输入的是一些关键字的组合，而自动问答系统允许用户输入一个问句；
The inputs of search engines are combinations of keywords, while QA systems enable users to input a question in natural languages.
最后本文结合汉语比较句的研究工作，分析了汉语比较类型情感问答系统的一般流程。
And finally with the former study on Chinese comparative sentences, we analyze the general process for Chinese comparative Opinion QA.
该文首先介绍了主要的答案选择标准，分析了答案选择标准与问答系统评测之间的关系。
This paper first illustrates the main answer selection criteria and analyzes the relationship between the criteria and the question answering evaluation.
该文介绍了如何将角色反演算法的思想用在多信息源多语种问答系统中来构建句法分析器。
This paper introduces how to use the concept of Role Inverse Algorithm in order to build syntactic parser in the various information resources based multi-lingual question answering system.
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。
Question answering system can give users precise answer to the question presented in natural language by using natural language processing technique.
候选答案句抽取是问答系统中答案抽取的重要组成部分，其质量直接影响问答系统的性能。
Candidate answer sentence extraction is an important part of answer extraction, which directly effects question answering system's performance.
自动问答系统是自然语言理解研究领域中的热门方向，它综合运用了多种自然语言处理技术。
The automatic question and answering system (QA) is a hot research field in natural language understanding, which includes many kinds of NLP technologies.
自动问答系统是自然语言理解研究领域中的热门方向，它综合运用了多种自然语言处理技术。
The automatic question and answering system(QA)is a hot research field in natural language understanding, which includes mang kinds of NLP technologies.
情感问答方法的研究不仅需要传统问答系统的技术，还将涉及到意见挖掘、比较关系分析等技术。
The study of Opinion QA system needs not only the traditional QA system's technology, but also the technology of Opinion Mining and comparative relation mining, and so on.
情感问答方法的研究不仅需要传统问答系统的技术，还将涉及到意见挖掘、比较关系分析等技术。
The study of Opinion QA system needs not only the traditional QA system's technology, but also the technology of Opinion Mining and comparative relation mining, and so on.
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