Therefore, the natural language information processing has been unprecedented attention and concern by many researchers at home and abroad.
因此自然语言信息处理得到了前所未有的重视，受到了国内外许多研究者的关注。
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。
Through a series of large-scale evaluations, TDT has become a hot problem for worldwide research in the fields of natural language processing, especially in information retrieval.
通过连续的大规模评测，话题识别与跟踪已成为国际上自然语言处理尤其是信息检索领域的一个研究热点。
Gender recognition of person name can be used in natural language processing and information retrieval.
人名性别识别能应用在自然语言处理和信息检索中。
Question answer System is a subject of great topic study orientation in studying natural language processing, mainly including question analysis, information retrieval and answer collection.
自动问答系统是自然语言处理研究中的一个热门的研究方向，主要集问题分析、信息检索、答案抽取等于一体。
As the product of language research and computing technology in information epoch, Natural language Processing mainly aims to solve linguistic problems in human-computer intercommunication.
自然语言处理是信息时代的产物，它的主要研究对象为人—机语言交流问题。
Text categorization is an important research task of natural language processing, which can efficiently resolve the issue of information chaos and help users to find the required information.
文本分类是自然语言处理的一个重要研究方向，它可以有效的解决信息杂乱的现象，并有助于用户发现所需的信息。
Information extraction is a practical natural language processing technology.
信息抽取是一种实用性强的自然语言处理技术。
Recently using natural language processing technology to process electronic patient's record is becoming a hot spot on research and application in information processing area.
应用自然语言处理技术对医疗领域的信息进行处理，日益成为自然语言处理的一个新兴的研究和应用热点。
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。
This model retrieves information on semantic using natural language processing technique so as to overcome the shortcoming of traditional retrieval methods and enhance efficiency.
该模型利用自然语言处理技术，在语义层次上进行查询和检索，克服了传统检索方法的不足，提高了查全率与查准率。
Text classification is an important research task of natural language processing, which can efficiently resolve the issue of information chaos and help to locate the required information.
文本分类是信息处理的一个重要的研究课题，它可以有效的解决信息杂乱的现象并有助于定位所需的信息。
Cognitive semantics is an effective approach to analyze the natural language that puts special emphasis on language as an instrument for organizing, processing and conveying information.
认知语义学是对自然语言进行分析的一种方法，它着重于把语言作为一种组织、处理和传递信息的工具。
Maximum entropy model provides a natural language processing method, and proposes a structured program of medical text information combined with standard terminology for health care.
最大熵模型提供了一种自然语言处理的方法，提出了一种结合医疗标准术语的医疗文本信息结构化方案。
The representation and acquisition of knowledge play a key role in studies on information processing and natural language interpretation.
在自然语言处理研究中，知识表示、知识获取是核心课题。
Absrtact: As a branch of natural language processing, the extraction of useful information in large text, the text information extraction became an important means.
摘要：作为自然语言处理的一个分支，文本信息抽取成为了提取大量文本信息中有用信息的重要手段。
Word sense disambiguation (WSD) plays an important role in many areas of natural language processing such as machine translation, information retrieval, sentence analysis, speech recognition.
词义排歧在机器翻译、信息检索、句子分析和语音识别等许多领域有重要的作用。
Therefore using natural language processing technology to process medical information has theoretic meaning and practical worth.
因此基于自然语言处理技术的医疗病案研究具有理论意义和实用价值。
Biomedical ontologies provide essential domain knowledge to drive data integration, information retrieval, data annotation, natural-language processing and decision support.
生物医学本体论提供了必要的领域知识以驱动数据整合、信息检索、数据注释、自然语言处理和决策支持。
Information Retrieval; Natural Language Processing; Parsing Technology.
资讯检索；自然语言处理；剖析技术。
Information Retrieval; Natural Language Processing; Parsing Technology.
资讯检索；自然语言处理；剖析技术。
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