Chinese Fine-Grained Named Entity Recognition Based on BILTAR and GlobalPointer Modules

Chinese Fine-Grained Named Entity Recognition Based on BILTAR and GlobalPointer Modules

The task of fine-grained named entity recognition is to locate entities in text and classify them into predefined fine-grained categories. At present, Chinese fine-grained NER only uses the pretrained language model to encode the characters in the sentence and lacks the ability to extract the deep s...

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Bibliographic Details
Main Authors: Weijun Li, Jintong Liu, Yuxiao Gao, Xinyong Zhang, Jianlai Gu
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Applied Sciences
Subjects:
named entity recognition
natural language processing
deep neural networks
feature extraction
knowledge graph
Online Access:https://www.mdpi.com/2076-3417/13/23/12845

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