Intelligent question and answer matching method and device

Abstract

The embodiment of the invention relates to the technical field of information processing, in particular to an intelligent question and answer matching method and device. According to the method, a convolutional neural network model can be used; The machine learning model realizes multi-angle analysis and processing of the question information, further screens out historical theme information conforming to conditions, calculates score values of the historical theme information, and carries out dual judgment based on the score values to obtain question and answer pairs conforming to judgment conditions, so that the quality of the obtained question and answer pairs can be improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of information processing, and in particular, to an intelligent question-answer matching method and device. Background technique [0002] The earliest implementation idea of ​​the question answering system can be traced back to the Turing test. In order to test whether the machine has human intelligence, the Turing test requires the computer to answer a series of questions raised by human testers within 5 minutes, and its answers to more than 30% make the testers mistakenly think that they are answered by humans. With the development of artificial intelligence, natural language processing and other related technologies, different types of question answering systems have been derived for different data forms. However, the existing question answering system has a single way to deal with new questions raised by users, and the flexibility is not high, which leads to the low quality of ...

AI Technical Summary

Problems solved by technology

However, the existing question answering system has a single way to deal with new questions raised by users, and the flexibility is not high, which leads to the low quality of the matched answers.

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