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Question-answering system construction method based on structured text knowledge extraction

A technology of question answering system and construction method, which is applied in special data processing applications, instruments, electrical digital data processing, etc., and can solve problems such as the complexity of the knowledge base construction process and the absence of question answering system construction methods, so as to achieve rich knowledge content and easy understanding , beneficial effect

Active Publication Date: 2016-04-27
ZHEJIANG UNIV
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Problems solved by technology

This method introduces the idea of ​​ontology into the construction of the knowledge base of the question answering system, clearly expresses the concepts, attributes and relationships in the tourism field with the OWL ontology description language, and organizes knowledge more effectively; but this method only provides the tourism ontology knowledge base , can only answer questions and answers within the scope of tourism, and the construction process of the ontology knowledge base is relatively complicated
It can be said that there has not yet been a general and simple question answering system construction method

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  • Question-answering system construction method based on structured text knowledge extraction
  • Question-answering system construction method based on structured text knowledge extraction
  • Question-answering system construction method based on structured text knowledge extraction

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Embodiment Construction

[0028] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0029] figure 1 It is a frame diagram of the question answering system corresponding to the building process of the question answering system in the present invention. The figure mainly includes knowledge base module, word segmentation module, decision tree module and some related interactions. The knowledge base module corresponds to the knowledge base, is associated with the word segmentation module, provides a thesaurus for the word segmentation of the word segmentation module, and is related to the decision tree module, provides the network knowledge model required for the construction of the decision tree, stores the decision tree, and provides text content; The word segmentation module corresponds to the word segmentation method, is associated with...

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Abstract

The invention discloses a question-answering system construction method based on structured text knowledge extraction. The method needs to be implemented on the basis of a knowledge base, a word segmentation method and a decision-making tree method. The knowledge is divided into four parts, namely I, lexicon and corresponding bodies, wherein terms in the lexicon are associated with the corresponding bodies on the basis of a body method; II, a structured text taking a text subject body as an index; III, a net-shaped knowledge model in which a text subject body and a keyword body are associated; IV, a decision-making three model which is constructed on the basis of the decision-making tree method. The decision-making three model takes data of the keyword body of the net-shaped knowledge model as the characteristic and takes the text subject body of the net-shaped knowledge model as a result, associates the keyword body with the text subject body and is used for decision-making support in a question-answering system. The method disclosed by the invention can be applicable to multiple different fields, is used for answering the problems of various fields and is relatively simple and convenient and easy to implement.

Description

technical field [0001] The invention belongs to the technical field of computer natural language processing, and in particular relates to a question answering system construction method based on structured text knowledge extraction. Background technique [0002] With the rapid development of computer technology, the field of question answering systems based on natural language processing has also been greatly developed. At present, the field of question answering system mainly covers medical care, education, tourism, etc., and has performed well in all aspects. But today's question answering system is mainly aimed at a certain aspect, such as medical treatment, or it is realistic based on the resource description framework, but the engineering is cumbersome. [0003] Question answering systems are an advanced form of information retrieval systems that are used to accurately answer questions posed by users in natural language. As people's demand for fast and accurate access...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/90332
Inventor 李石坚朱余旭石龙翔陶海潘纲
Owner ZHEJIANG UNIV
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