Entity labeling method, intention identification method and corresponding device, and computer storage medium

Abstract

The invention provides an entity labeling method, an intention identification method and a corresponding device, and a computer storage medium. The entity labeling method comprises the following steps: encoding the attribute labels of at least part of the words in a sentence by using a knowledge map to obtain a first expression vector of at least part of the words; Encoding at least part of the words in the sentence based on the sentence structure to obtain a second expression vector of at least part of the words; The first expression vector and the second expression vector are fused to obtainan entity labeling result of the sentence. The intent recognition method comprises the following steps: the attribute tags of at least part of the words in a sentence are combined and encoded by using a knowledge map to obtain a first sentence vector of the sentence; Encoding the sentence based on the sentence structure to obtain a second sentence vector of the sentence; The first sentence vectorand the second sentence vector of the sentence are fused to obtain an intention recognition result of the sentence. The method provided by the invention can improve the accuracy of entity labeling and intention identification.

Description

【Technical field】 [0001] The present invention relates to the field of computer application technology, in particular to an entity labeling method, an intention recognition method, a corresponding device, and a computer storage medium. 【Background technique】 [0002] Natural language processing is an important and even core part of artificial intelligence. Its purpose is to understand what to express in a sentence. It mainly includes two tasks: entity labeling and intent recognition. Among them, entity labeling is to label the attribute labels of entity words in a sentence, and intent recognition is to identify what intention or purpose a sentence wants to achieve. For example, if there is such a sentence "Which movies Jay Chou has acted in", the task of entity labeling is to mark the entity word "Jay Chou" as a Movie_actor tag, and Movie_actor refers to film and television actors; and intent recognition is to identify the sentence is to get What movies has an actor acted i...

AI Technical Summary

Problems solved by technology

[0003] The current entity labeling and intent recognition methods are only based on the sentence structure. This method based solely on the sentence structure often causes problems such as low accuracy in intent recognition and entity labeling.

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