An intelligent question and answer system based on natural language processing

Abstract

The invention discloses an intelligent question and answer system based on natural language processing. The system comprises a knowledge base construction module, a question and answer pair managementmodule and a question and answer matching module. The knowledge base construction module comprises a document preprocessing module, a document structure tree construction module and a question and answer pair construction module; the question and answer pair management module comprises a task management module, a document management module, a keyword management module and a question and answer pair operation module; the question and answer matching module is used for matching questions extracted by a user with the question and answer pairs created by the knowledge base generation module. As many as possible high-quality question and answer pairs are extracted from documents, the retrieval efficiency and accuracy of the knowledge base are improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent customer service, and in particular relates to an intelligent question answering system based on natural language processing. Background technique [0002] With the rapid development of the Internet and the widespread popularization of personal computers, more and more messages and data are published in the form of electronic documents through the hypertext transfer protocol. As a result, the speed and capability of data retrieval have encountered huge challenges. How to accurately and timely obtain the information required by users in the vast information world has become a major problem in the development of the Internet. [0003] Search engine technology is a relatively mature information retrieval technology. However, with the crazy growth of Internet data, the shortcomings of search engines gradually appear. Traditional search engines such as Baidu, Google, and Bing usually only use key...

AI Technical Summary

Problems solved by technology

However, the traditional manual construction of knowledge bases is time-consuming and labor-intensive, with a narrow coverage. Currently, unstructured data is converted into structured knowledge graph storage, which requires a lot of human resources and technical support, and the storage of knowledge graphs is not flexible enough. More complicated, the efficiency and accuracy of knowledge base query are not high enough

As a result, the existing intelligent question answering system can only answer a small number of questions from the public, and cannot answer accurately

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