自然语言理解

zì rán yǔ yán lǐ jiě
  • natural language understanding
自然语言理解自然语言理解
  1. 基于自然语言理解的ISO标准WEB智能咨询系统研究

    Intelligent WEB Consultation System about ISO Standard Based on Natural Language Understanding

  2. 将Ontology与自然语言理解结合,通过建立基于Ontology技术的语义分析模型来提高语义理解的成功率。

    The Ontology technique is used in natural language understanding to improve the semantic analysis capacity .

  3. 一种基于自然语言理解的Web挖掘模型

    A model of Web mining based on nature language understanding

  4. 基于自然语言理解的个性化Web挖掘及其系统设计

    Study and Design of Personalize Web Mining System Based on Nature Language Understanding

  5. 论个性化信息服务Web数据挖掘技术的实践环境自然语言理解在Web数据挖掘中的应用

    On the Application Areas of Web Mining Technologies in Personalized Information Services Practice of web mining based on nature language understanding

  6. Ontology技术在自然语言理解中的应用

    The application of the Ontology technology on the understanding of natural language

  7. 基于Ontology的自然语言理解

    Ontology-Based Natural Language Understand

  8. 概念格为知识处理提供了很好的基础,比如知识表示、关联规则发现、智能搜索引擎、语义Web和自然语言理解等。

    Second , concept lattices provide better foundation for knowledge processing , such as association rule discovery , intelligent search engine , semantic Web and natural language processing .

  9. 结合人工智能研究领域的自然语言理解、智能代理和计算机语言学理论,我们能够利用Internet这个大型数据库,从中挖掘有用的信息。

    With the techniques of Natural Language Understanding in Artificial Intelligence field , Intelligent Agent and Computer Language , we can mine useful information from the huge database - Internet .

  10. 概念层次网络理论,简称HNC(TheoryofHierarchicalNetworkofConcepts)是黄曾阳创立的以语义研究为基础的自然语言理解系统理论。

    The Theory of Hierarchical Network of Concepts , HNC for short , is a series of theories for natural language processing on the basis of semantic study .

  11. 领域本体作为一种能在语义和知识层次上描述信息的概念模型,在智能信息检索、知识获取、自然语言理解和Web信息处理等方面发挥着重要的作用。

    As a conceptual model of describing information in semantic level , domain ontology is becoming more and more important in intelligent information retrieval , knowledge acquisition , natural language understanding and Web information processing .

  12. 采用DCG(DefineClauseGrammar)方法实现的自然语言理解,出现了大量回溯。

    There is a lot of backtracking by using DCG ( Define Clause Grammar ) method with NLU ( Natural Language Understanding ) .

  13. 同时说明了如何用PROLOG语言设计流动注射分析专家系统的自然语言理解模块。

    It shows that how to design the natural language comprehension programme of FIA expert system with Turbo PROLOG .

  14. 用户与agent之间的交互通过XML转换成agent通讯语言,从而解决了虚拟环境中agent对自然语言理解的问题。

    The user interacts with the agent by means of a text dialog , which is translated into agent communication language through XML . Thus it solves the problem of natural language understanding for agent in the virtual environments .

  15. 在论述面向专业知识文本的知识获取方法&自然语言理解与专家系统的不足之后,提出了一种面向机械知识Web文本的知识获取新途径。

    A kind of new way of knowledge acquisition oriented to Web document of mechanical knowledge was put forward after the deficiency of knowledge acquisition method facing to document of speciality knowledge : natural language understanding and expert system was being discussed .

  16. 依据自然语言理解思想设计结构化思维、分布式的信息计算实现结构化信息处理和Multi-Agent的结构化问题求解的思想,构建了CPS信息世界。

    Based on natural language understanding structured thinking , distributed information structured information processing and Multi-Agent structured problem-solving ideas , to build the CPS information world .

  17. 结论利用Ontology作为知识体进行自然语言理解,能够有效的把语言学知识和世界知识结合起来,运用世界知识对文本进行消歧和推理;

    Conclusion Ontology , which is as a body of knowledge , is used in NLU , can combine the linguistic knowledge with world knowledge that can used in disambiguation , reasoning of the texts .

  18. 探讨了一种自然语言理解(NLU)切词系统的设计思路。

    A way for the designing of Chinese word segmentation system is discussed here .

  19. Ontology与知识系统的知识库相融合,使得自然语言理解不仅仅是作为一种人机交互方式,而且能够与其它的基于知识的智能系统如专家系统整合。

    Ontology can merge with KB of knowledge system , which makes NLU not only a human-machine interactive manner , but also can in conformity to other intelligent system based on knowledge , such as expert system .

  20. 然后,根据自然语言理解篇章分析模型,设计实现了基于领域的汉语NLU篇章分析系统。

    Third , the Domain NLU discourse model is designed and realized according to the model .

  21. 基于领域自然语言理解的知识库管理系统的研究与实现及其在机械设计中的应用自然语言理解的新思路:HNC理论

    The Research and Implementation of Knowledge Base Management System of Chinese Understanding System Based on Domain and Its Application in the Machine Design

  22. 自动问答系统(QuestionAnswerSystem,简称QAS)是一种基于因特网,运用了自然语言理解技术的高性能软件系统,能够自动解答人们提出的常规性的问题。

    The automatic question and answer system ( Question Answer System , is called QAS ) is the high performance software system that is based on Internet , with the use of the natural language understanding to answer the regular questions raised by people .

  23. 基于自然语言理解的书本知识获取系统TKAS

    Text knowledge acquisition system based on natural language understanding

  24. 为了用户能够方便地获取本体知识,提出了基于自然语言理解的SPARQL本体查询。

    For users can conveniently access to ontology knowledge , Simple Protocol And RDF Query Language ( SPARQL ) ontology query based on natural language understanding was put forward .

  25. 在自然语言理解过程中,需要一个有力的方法和理论来处理大量的词汇和文档信息,而LSA恰好是一个比较理想的方法。

    In the course of Natural Language Processing , a powerful method and theory that processes a big number of glossary and information is needed , however LSA is a more appropriate means .

  26. 美国DARPA战略计算计划提出了口语系统研究,即把语音识别和自然语言理解结合起来,并进一步实用化。

    The Program of American DARPA Calculation Strategy put forward the research of Spoken English System to integrate phonetic identification and nature language comprehension and put in further practice .

  27. 全面介绍了本研究所涉及的各学科领域,包括语音识别、自然语言理解、人机交互,着重分析了W3C组织制订的多通道交互的技术框架和示范应用。

    Introduced most of related research fields such as ASR ( Automatic Speech Recognition ), NLP ( Nature Language Process ) and HCI ( Human-Computer Interaction ), and focused on the analysis of the architecture and framework of multimodal interaction formulated by W3C .

  28. 重点介绍了面向整个自然语言理解处理的新理论&概念层次网络(HNC)理论的主要内容及其进展,试图在理论层面上给出HNC理论的基本概貌。

    Emphases is then laid to present the novel theory of HNC which is oriented to every phase of NLU , with regard to its main contents and progresses . A notional sketch of HNC is attempted .

  29. 自然语言理解的核心问题在于语义理解。

    The key problem in natural language understanding is semantic understanding .

  30. 中文信息检索系统中的自然语言理解技术研究

    Study on Natural Language Understanding of the Chinese Information Retrieval System