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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 2130 of 75 papers

TitleStatusHype
Parallel Instance Query Network for Named Entity RecognitionCode1
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram RepresentationsCode1
Supplementary Features of BiLSTM for Enhanced Sequence LabelingCode1
Improving Named Entity Recognition with Attentive Ensemble of Syntactic InformationCode1
Distantly Supervised NER with Partial Annotation Learning and Reinforcement LearningCode0
Dice Loss for Data-imbalanced NLP TasksCode0
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word SegmentationCode0
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph NetworkCode0
MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity RecognitionCode0
Glyce: Glyph-vectors for Chinese Character RepresentationsCode0
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