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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).

Papers

Showing 1120 of 75 papers

TitleStatusHype
MarkBERT: Marking Word Boundaries Improves Chinese BERTCode1
FGN: Fusion Glyph Network for Chinese Named Entity RecognitionCode1
A Unified MRC Framework for Named Entity RecognitionCode1
Boundary Smoothing for Named Entity RecognitionCode1
Improving Named Entity Recognition by External Context Retrieving and Cooperative LearningCode1
Improving Named Entity Recognition with Attentive Ensemble of Syntactic InformationCode1
DiffusionNER: Boundary Diffusion for Named Entity RecognitionCode1
Chinese NER Using Lattice LSTMCode1
Locate and Label: A Two-stage Identifier for Nested Named Entity RecognitionCode1
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity RecognitionCode1
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