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Text entity recognition method and device, computer equipment and storage medium

An entity recognition and entity technology, which is applied in the fields of devices, computer equipment and storage media, and text entity recognition methods, and can solve the problems of low entity recognition accuracy.

Pending Publication Date: 2020-07-07
UBTECH ROBOTICS CORP LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the prediction accuracy of the deep learning entity recognition model has a certain bottleneck (only between 80% and 90%), so the accuracy of entity recognition in the traditional corpus is low

Method used

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  • Text entity recognition method and device, computer equipment and storage medium
  • Text entity recognition method and device, computer equipment and storage medium
  • Text entity recognition method and device, computer equipment and storage medium

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Embodiment Construction

[0047] In order to make the object, technical solution and advantages of the present invention clearer, the present invention 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 invention, not to limit the present invention.

[0048] figure 1 It is an application environment diagram of the text entity recognition method in an embodiment. refer to figure 1 , the text entity recognition is applied to the text entity recognition system. The text entity recognition system includes a terminal 110 and a server 120 . The terminal 110 and the server 120 are connected through a network. The terminal 110 may specifically be a desktop terminal or a mobile terminal, and the mobile terminal may specifically be at least one of a mobile phone, a tablet computer, a notebook computer, and the like. The server 120 can be implemented b...

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Abstract

The invention relates to a text entity recognition method. The method comprises: obtaining a text of a to-be-recognized entity; taking the text as the input of an entity recognition model, and obtaining a first prediction entity set output by the entity recognition model; performing word segmentation processing on the text by adopting a word segmentation mechanism, and extracting a second prediction entity set according to a word segmentation processing result; and determining a target entity set obtained by identification according to the first prediction entity set and the second predictionentity set, wherein the target entity set is a set of target entities. By adopting a word segmentation mechanism as supplementary identification, the accuracy of entity identification is improved. Inaddition, the invention further provides a text entity recognition device, computer equipment and a storage medium.

Description

technical field [0001] The invention relates to the field of computer processing, in particular to a text entity recognition method, device, computer equipment and storage medium. Background technique [0002] With the maturity of deep learning technology and the improvement of computer performance, deep learning technology is widely used in text entity recognition tasks, especially in robot dialogue data, which requires the acquisition of entities to carry out relevant conversation arrangement. However, the prediction accuracy of the deep learning entity recognition model has a certain bottleneck (it can only reach between 80% and 90%), so the accuracy of entity recognition in traditional corpus is low. Contents of the invention [0003] Based on this, it is necessary to provide a text entity recognition method, device, computer equipment and storage medium with high entity recognition accuracy to address the above problems. [0004] In a first aspect, an embodiment of t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/295G06F16/35
Inventor 熊友军罗沛鹏廖洪涛
Owner UBTECH ROBOTICS CORP LTD