Semantic analysis question and answer method and device, computer device and storage medium

Abstract

The invention relates to a semantic analysis question and answer method and device, a computer device and a storage medium. The semantic analysis question and answer method comprises the steps of receiving a question of a user; performing word segmentation processing on the problem to obtain a plurality of words; Filtering the words to obtain at least one keyword; performing semantic analysis on the at least one keyword to obtain semantic information of a plurality of words; respectively performing semantic analysis on the words to obtain semantic information of the words; matching the semantic information with a plurality of preset intention knowledge points to determine matched intention knowledge points; Intentions corresponding to the matched intention knowledge points are obtained, and at least one necessary condition related to each intention is obtained; and obtaining an answer corresponding to the question according to the intention and at least one necessary condition relatedto the intention, and sending the answer to the user. According to the invention, the calculation efficiency and the answer reply accuracy can be improved.

Description

technical field [0001] The invention relates to the technical field of human-computer interaction, in particular to a semantic analysis question answering method and device, computer equipment and a storage medium. Background technique [0002] Human-Computer Interaction (HCI) is a science that studies the interactive relationship between the system and the user. A system can be a variety of machines, or it can be computerized systems and software. For example, various artificial intelligence systems such as intelligent customer service systems and voice control systems can be realized through human-computer interaction. [0003] Intelligent question answering system is a typical application of human-computer interaction. The traditional intelligent question answering system directly calculates the similarity between the question raised by the user and a large number of questions stored in the knowledge base, and obtains the answer that matches the question. However, sinc...

AI Technical Summary

Problems solved by technology

However, since this method requires a complete similarity calculation for each question, the amount of calculation is very large, resulting in low calculation efficiency

In addition, the above method can only answer single-intent questions or multi-intent questions that can effectively sentence sentences, and the accuracy of answer replies is low, thus resulting in poor user experience

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