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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

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Showing 1–25 of 75 papers

TitleStatusHype
TENER: Adapting Transformer Encoder for Named Entity RecognitionCode3
ERNIE: Enhanced Representation through Knowledge IntegrationCode3
ERNIE 2.0: A Continual Pre-training Framework for Language UnderstandingCode3
FLAT: Chinese NER Using Flat-Lattice TransformerCode2
CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for ChineseCode2
Unified Named Entity Recognition as Word-Word Relation ClassificationCode1
SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NERCode1
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram RepresentationsCode1
Named Entity Recognition for Social Media Texts with Semantic AugmentationCode1
FGN: Fusion Glyph Network for Chinese Named Entity RecognitionCode1
Supplementary Features of BiLSTM for Enhanced Sequence LabelingCode1
Improving Named Entity Recognition by External Context Retrieving and Cooperative LearningCode1
A Unified MRC Framework for Named Entity RecognitionCode1
Boundary Smoothing for Named Entity RecognitionCode1
NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity RecognitionCode1
DiffusionNER: Boundary Diffusion for Named Entity RecognitionCode1
MarkBERT: Marking Word Boundaries Improves Chinese BERTCode1
MarkBERT: Marking Word Boundaries Improves Chinese BERTCode1
Enhancing Entity Boundary Detection for Better Chinese 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
Parallel Instance Query Network for Named Entity RecognitionCode1
Improving Named Entity Recognition with Attentive Ensemble of Syntactic InformationCode1
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word SegmentationCode0
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