Semantic integrity determination method and device, electronic equipment and storage medium

Abstract

The invention relates to a semantic integrity determination method and device, electronic equipment and a storage medium. The method comprises the following steps: predicting the first to-be-processedtext through the text prediction model, determining a target probability table corresponding to the target element position, wherein the target probability table is used for representing the prediction probability that each text element in a plurality of text elements contained in a preset element set appears at the position of the target element; and determining a prediction probability corresponding to each target text element in the element set according to the target probability table so as to determine whether semantics of the first to-be-processed text are complete or not according to the prediction probability corresponding to each target text element, the target text elements being used for representing semantic integrity of the first to-be-processed text. According to the methodand the device, whether the semantics of the first to-be-processed text is complete or not can be accurately determined, and the situation that the man-machine conversation system acquires the text with incomplete semantics due to the fact that input of the text is judged by mistake is avoided, so that the accuracy and efficiency of man-machine conversation are improved.

Description

technical field [0001] The present disclosure relates to the technical field of text recognition, and in particular to a method, device, electronic device and storage medium for determining semantic integrity. Background technique [0002] In recent years, with the rise of artificial intelligence technology, the human-computer dialogue system, which is one of the important research fields of artificial intelligence technology, has also received widespread attention. During the process of man-machine dialogue, the man-machine dialogue system needs to continuously obtain the dialogue text input by the user, and after detecting the end of the dialogue text input, make a corresponding response in time based on the dialogue text entered by the user. However, the man-machine dialogue system may not be able to accurately detect whether the input of the dialogue text is finished. The user's input process makes the man-machine dialogue system obtain dialogue text with incomplete sem...

AI Technical Summary

Problems solved by technology

However, the man-machine dialogue system may not be able to accurately detect whether the input of the dialogue text is finished. The user's input process makes the man-machine dialogue system obtain dialogue text with incomplete semantics, which will cause the man-machine dialogue system to give wrong responses based on the wrong dialogue text, reducing the accuracy and efficiency of man-machine dialogue

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