Information identification method and device based on semantic enhancement, equipment and storage medium

A technology for information identification and information enhancement, applied in semantic analysis, character and pattern recognition, natural language data processing, etc., can solve problems such as difficult to accurately identify user data in social media, and achieve the effect of balanced weight and accurate identification

Pending Publication Date: 2021-08-03
PING AN TECH (SHENZHEN) CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of this application is to provide an information recognition method, device, medium and equipment based on semantic enhancement, aiming to solve the technical problem that NER in the prior art is difficult to accurately identify user data in social media

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  • Information identification method and device based on semantic enhancement, equipment and storage medium
  • Information identification method and device based on semantic enhancement, equipment and storage medium
  • Information identification method and device based on semantic enhancement, equipment and storage medium

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Embodiment Construction

[0049] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0050] refer to figure 1 , the embodiment of the present application provides a method for realizing the above invention, the present application proposes an information recognition method based on semantic enhancement, the method includes:

[0051] S1: Obtain text information to be identified, and acquire keywords in the text information to be identified;

[0052] S2: Obtain similar words of the keyword in the pre-trained word vector library;

[0053] S3: Use the preset context coding model to encode the similar words to obtain the hidden vectors of the similar words, c...

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Abstract

The invention relates to the technical field of artificial intelligence, and discloses an information recognition method and device based on semantic enhancement, a medium and equipment, and the method comprises the steps: obtaining to-be-recognized text information and keywords; obtaining similar words of the keyword in a pre-trained word vector library; adopting a preset context coding model to code the similar words to obtain hidden vectors of the similar words, calculating word vector weights of the similar words according to the hidden vectors, and obtaining semantic enhancement information of the keywords through calculation; calculating the information weights of semantic enhancement information and hidden vectors relative to keyword semantic understanding through a preset gating model, calculating semantic feature parameters of keywords according to the information weights, calculating semantic prediction sequence tags corresponding to the semantic feature parameters, and performing semantic recognition on text information to be recognized. Therefore, semantic enhancement of the keywords is realized, the weights of the context environment and the semantic enhancement information are balanced, and the text information to be identified is accurately identified.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to an information recognition method, device, medium and equipment based on semantic enhancement. Background technique [0002] At present, Weibo occupies a vital part in the field of domestic social media. With the increasing popularity of Weibo, user data is also increasing. The text in these user data is usually short and informal, that is, users want to The information expressed is hidden in unstructured posts. Since these user data are unstructured data, there are certain obstacles in extracting information from these user data. How to effectively understand these texts is still a challenging task. . [0003] Named Entity Recognition (NER) is a task of discovering information entities and identifying their corresponding categories. It is widely used in question answering, topic modeling, information retrieval and other fields. It is an important part ...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06F40/247G06F40/30G06K9/62
CPCG06F40/30G06F40/247G06F16/3344G06F18/214
Inventor 孙超王健宗于凤英程宁
Owner PING AN TECH (SHENZHEN) CO LTD
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