Natural language semantic recognition method, device and equipment and storage medium

Abstract

The embodiment of the invention discloses a natural language semantic recognition method, device and equipment and a storage medium, and relates to the technical field of computer information processing. The method comprises the steps of receiving target initial data; calling a first neural network model; performing data error correction processing on the target initial data to obtain first text data; calling a second neural network model, and performing text sentence segmentation processing on the first text data to obtain second text data; and calling a third neural network model, and performing intention recognition and entity extraction on the second text data to obtain a target entity and a target intention. The invention further relates to a blockchain technology, and the target entity and the target intention are stored in the blockchain network. According to the method, multiple types of models are applied to cooperatively process a natural language for semantic recognition, the adaptive capacity of the models is improved through data error correction, multi-intention distinguishing is achieved, the running efficiency and accuracy of the models are improved, and a user canobtain better experience in man-machine interaction.

Description

Technical field [0001] This application relates to the field of computer information processing technology, in particular to a natural language semantic recognition method, device, equipment and storage medium. Background technique [0002] In recent years, with the improvement of computer computing power and the breakthrough development of core artificial intelligence algorithms, the field of artificial intelligence has made rapid progress. Natural language processing is known as the "jewel in the crown of artificial intelligence. It is an important direction in the field of computer science and artificial intelligence, and has a broad application space. [0003] Natural language processing is the intersection of computer science, linguistics, and machine learning. It focuses on the communication between computers and humans in natural language, and is committed to enabling computers to understand and generate human language. Natural language processing technology is mainly used ...

AI Technical Summary

Problems solved by technology

However, in actual application scenarios, there are often problems such as typos in user input, inaccurate speech recognition, increasing business-specific vocabulary, and multiple intentions without punctuation in a sentence, which makes the question answering system produce errors and fail to meet customer needs.

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