This paper presents a now method for answer ranking in question answering (QA) track.
本文描述了一种问题回答任务中答案排序的新方法。
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。
This paper introduces a design for subsystem of automatic question answering in the distance teaching system.
介绍了远程教学系统中的一种自动问题回答子系统设计。
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。
Question Answering is a hot research field in Natural Language Processing, which includes many kinds of NLP technology.
自动问答技术是自然语言处理领域中一个非常热门的研究方向，它综合运用了各种自然语言处理技术。
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。
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 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。
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。
Information retrieval: search algorithms, information extraction, question answering, cross-lingual retrieval and multimedia retrieval.
信息获取：搜索算法、信息抽取、自动应答、跨语言获取、多媒体获取。
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。
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。
Question answering is the next generation of search engine which is related to natural language processing, information retrieval and etc.
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。
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。
In the absence of combination with the semantic understanding, it is difficult to analyse the real intentions clearly in question answering.
目前由于没有结合语义的理解在自动问答领域中很难分析清楚用户表达的真正意图。
Question Answering (QA) is the next generation of search engine which is related to natural language processing, information retrieval and etc.
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。
Candidate answer sentence extraction is an important part of answer extraction, which directly effects question answering system's performance.
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。
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。
It is a common type of the question answering to carry on simple calculation and reply correlation questions on the basis of nature language processing.
在自然语言处理的基础上进行简单计算并回答相关问题是自动问答的常见类型。
This paper first illustrates the main answer selection criteria and analyzes the relationship between the criteria and the question answering evaluation.
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 introduces several key technologies of QA, then analyses methods and characteristics of sentence retrieval in Chinese question answering system.
本文首先简单介绍了问答系统中的几种关键技术，然后对问答系统中信息检索模块句子检索的方法和特点进行了分析。
The innovative solution has been already applied to the natural language intelligent network Question Answering system. The application achieved well results.
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。
To improve question answering (QA) performance based on real-world web data sets, a new set of question classes and a general answer re-ranking model are defined.
为了改善真实网络数据集上自动问答系统的性能，定义出新的问题类别集合和通用的答案重新排序模型。
Question classification is an important component of the question answering system, its result directly influences the performance of the question answering system.
问题分类是问答系统中重要的组成部分，问题分类结果的好坏直接影响问答系统的性能。
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