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Chinese Named Entity Recognition

Chinese named entity recognition is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc. from Chinese text (Source: Adapted from Wikipedia).

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TitleStatusHype
Improving Model Generalization: A Chinese Named Entity Recognition Case Study—0
Enhancing Entity Boundary Detection for Better Chinese Named Entity RecognitionCode1
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity RecognitionCode1
Locate and Label: A Two-stage Identifier for Nested Named Entity RecognitionCode1
Improving Named Entity Recognition by External Context Retrieving and Cooperative LearningCode1
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis—0
Improving Named Entity Recognition with Attentive Ensemble of Syntactic InformationCode1
Named Entity Recognition for Social Media Texts with Semantic AugmentationCode1
Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism—0
SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NERCode1
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