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Named entity recognition method, device and equipment and computer readable storage medium

A technology of named entity recognition and feature calculation, applied in the field of artificial intelligence, can solve the problems of poor recognition effect and affect the accuracy of named entity recognition, and achieve the effect of easy and accurate recognition

Pending Publication Date: 2022-07-08
PING AN TECH (SHENZHEN) CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Related technologies generally use Conditional Random Field (CRF) sequence models for named entity recognition in text. This method can learn manually labeled data, but the recognition effect on unlabeled data or unregistered words is not good. , affecting the accuracy of named entity recognition

Method used

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  • Named entity recognition method, device and equipment and computer readable storage medium
  • Named entity recognition method, device and equipment and computer readable storage medium
  • Named entity recognition method, device and equipment and computer readable storage medium

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Embodiment Construction

[0062] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0063] It should be noted that although the functional modules are divided in the schematic diagram of the device, and the logical sequence is shown in the flowchart, in some cases, the modules may be divided differently from the device, or executed in the order in the flowchart. steps shown or described. The terms "first", "second" and the like in the specification, claims or the above drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. Furthermore, the terms "comprising" or "having" and any variations thereof are intend...

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Abstract

The invention relates to the technical field of artificial intelligence, and provides a named entity recognition method, device and equipment and a computer readable storage medium, and the named entity recognition method comprises the steps: obtaining a pre-trained named entity recognition model, obtaining a to-be-recognized first statement, and inputting the to-be-recognized first statement into the named entity recognition model, performing the following named entity recognition processing by using the mission name entity recognition model: performing word segmentation processing on the first statement to obtain a second statement comprising a plurality of segmented words; performing feature extraction on the plurality of split words to obtain a plurality of word embedding feature vectors; processing the second statement according to the plurality of word embedding feature vectors to obtain a plurality of cross-domain information features; processing the plurality of cross-domain information features through an information bottleneck layer to obtain a plurality of information bottleneck features; the classification function is adopted to classify and recognize the multiple information bottleneck features, the corresponding named entity category is determined, the unregistered words in the named entity can be better recognized, and the named entity recognition accuracy is improved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, and in particular, to a named entity recognition method, apparatus, device and computer-readable storage medium. Background technique [0002] With the continuous development of artificial intelligence, great progress has been made in natural language processing related technologies based on deep learning. Named Entity Recognition (NER) is a basic task of natural language processing. Entities with specific meanings mainly include names of people, places, institutions, proper nouns, etc. Named entity recognition plays an important role in application fields such as information retrieval, question answering systems, and machine translation. Related technologies generally use the Conditional Random Field (CRF) sequence model for named entity recognition in texts. This method can learn manually labeled data, but the recognition effect on unlabeled data or unregistered words is...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/295G06F40/289G06F16/35
CPCG06F40/295G06F40/289G06F16/35
Inventor 舒畅陈又新
Owner PING AN TECH (SHENZHEN) CO LTD
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