Computer information retrieval system based on natural speech understanding and its searching method

Abstract

This invention relates to a computer information search system based on the understanding of natural languages and a search method, in which, the search is started by the interrogative sentence input by a user and the system outputs a sequential answer according to the related program of the semantic meaning, first of all, articles from the internet and data from the content database are processed by the HNC sentence analysis module to get a being selected solution sentence repository with labels, then the interrogative sentences input by the user is processed by the HNC analysis module to get the HNC structure to enter into the interrogative analysis module for analysis to generate an equal semantic target sentence mode sequence then concept similarity computation is carried out to the words and expression blocks in the being selected solution sentence and target solution sentence mode in the repository by a sentence mode matching module to compare the being selected and target sentences to get the marks of accuracy for the result of the sentence mode match, the semantic relation structure identification match result and the solution to array in terms of the correctness and feeds back the result.

Description

technical field [0001] The invention relates to a computer information retrieval system, in particular to a computer system for information retrieval by using natural language to ask questions. Background technique [0002] The computer information retrieval system helps us find the desired information in the vast ocean of information. Currently, information retrieval tools such as query software and search engines such as Google mainly use keyword matching, web link analysis and other technologies. However, it is difficult for people to accurately define their own search intentions through simple keyword combinations, and the search process of keyword matching does not deal with semantic factors such as word meaning combinations and semantic relationships within sentences. So people often have to spend a lot of time to manually identify the huge number of result webpage lists to find the ideal answer. [0003] Information query users hope to define their own query requirem...

AI Technical Summary

Problems solved by technology

However, it is difficult for people to accurately define their search intentions through simple keyword combinations, and the search process of keyword matching does not deal with semantic factors such as word meaning combinations, semantic relationships within sentences, etc.

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