A Named Entity Recognition Method and Device Based on Composable Weak Authenticator

A named entity recognition and entity recognition technology, applied in neural learning methods, instruments, biological neural network models, etc., can solve problems such as large differences in entity boundaries, failure, and strong subjective consciousness, so as to enrich training samples and increase robustness. Effect
CN112699682BActive Publication Date: 2022-05-17SHANDONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG UNIV
Publication Date
2022-05-17

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Abstract

An algorithm framework for named entity recognition based on a combinable weak authenticator, including: an entity recognition part and a result authentication part; the entity recognition part is used to complete the recognition task and obtain a recognition result; the result authentication part includes two and The above weak authenticators are respectively used to verify and authenticate the recognition results on the subdivision targets corresponding to each weak authenticator. The weak authenticator described in the present invention is a module capable of independently accomplishing a subdivision goal, and the required training data can be automatically generated on the existing task corpus. The weak authenticator and entity recognition parts form an end-to-end network for optimized learning using supervised methods. The invention uses a combinable weak authenticator to assist the process of named entity recognition, effectively improves the accuracy of entity recognition, and can be easily and quickly adapted and expanded in a specific field entity recognition scene.
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Description

technical field

[0001] The invention relates to a named entity recognition method and device based on a combinable weak authenticator, and belongs to the technical field of named entity recognition. Background technique

[0002] Named entity recognition refers to the process of locating entity boundaries in text and classifying entities based on a predefined set of entity types. Named entity recognition results provide support for many downstream tasks such as knowledge graph construction, relation extraction, and information retrieval. Early named entity recognition mainly recognized simple entities such as names of people, places, and organizations. With the continuous expansion of the application field of named entity recognition, the types of entities have gradually increased, and there are some domain-specific entities in special fields. Type, such as the drug name in the biomedical field, etc.

[0003] Named entity recognition can be subdivided into at least two proc...

Claims

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