Semantic recognition method and device, electronic equipment and computer readable storage medium

Abstract

The invention provides a semantic recognition method and device, electronic equipment and a computer readable storage medium. The method comprises the steps: receiving an intention statement inputtedby a user for a target scene; respectively calculating the similarity between the intention sentence and a plurality of preset reference sentences by adopting a preset similarity algorithm; and determining a preset reference sentence matched with the intention sentence according to the similarity, and obtaining a semantic attribute of the intention sentence according to the preset reference sentence matched with the intention sentence. According to the method, the similarity between the intention sentence and the reference sentence is calculated through the preset algorithm, so that the semantic attribute of the intention sentence is determined, the problems of overlarge sentence library scale and excessive resource occupation caused by various language expression combination forms and a large amount of information in the prior art are solved, and the effect of reducing resource occupation is achieved.

Description

technical field [0001] The present application relates to the technical field of semantic recognition, in particular, to a semantic recognition method, device, electronic equipment and computer-readable storage medium. Background technique [0002] Some smart devices (such as smart speakers) or smart services (such as robot customer service) will determine the user's intention by asking in certain states, and the user can answer by voice or text to express affirmative or negative. Smart devices or services need to judge whether the user is expressing affirmation or negation according to the intent sentence, so as to enter different processing procedures. [0003] In the prior art, a large number of positive / negative intent sentences are usually collected through text matching (if it is voice, then converted into text) to form a sentence library. If the user's intent sentence matches the sentence in the library, it is judged as the corresponding category. On this basis, it ...

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Problems solved by technology

[0005] In view of this, the purpose of this application is to provide a semantic recognition method, device, electronic equipment and computer-readable storage medium, which can calculate the similarity between the intended sentence and the reference sentence through a preset algorithm, thereby determining the semantics of the intended sentence attribute, which solves the problem existing in the prior art that due to various combinations of language expressions, a large amount of information will lead to an excessively large sentence library and occupy too many resources, so as to achieve the effect of reducing resource occupation

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