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QUESTION-ANSWERING SYSTEM AND METHOD BASED ON SEMANTIC LABELING OF TEXT DOCUMENTS AND USER QUESTIONS

机译:基于文本文档和用户问题的语义标签的问题查询系统和方法

摘要

A question-answering system for searching exact answers in text documents provided in the electronic or digital form to questions formulated by user in the natural language is based on automatic semantic labeling of text documents and user questions. The system performs semantic labeling with the help of markers in terms of basic knowledge types, their components and attributes, in terms of question types from the predefined classifier for target words, and in terms of components of possible answers. A matching procedure makes use of mentioned types of semantic labels to determine exact answers to questions and present them to the user in the form of fragments of sentences or a newly synthesized phrase in the natural language. Users can independently add new types of questions to the system classifier and develop required linguistic patterns for the system linguistic knowledge base.
机译:用于以文本或用户问题自动搜索文本的问题解答系统,用于搜索以电子或数字形式提供的文本文档中用户对自然语言提出的问题的确切答案。该系统借助标记根据基本知识类型,其组成和属性,针对目标词的预定义分类器的问题类型以及可能的答案的组成部分来进行语义标记。匹配过程利用上述类型的语义标签来确定问题的确切答案,并将其以句子片段或自然语言中新合成的短语的形式呈现给用户。用户可以独立地向系统分类器添加新类型的问题,并为系统语言知识库开发所需的语言模式。

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