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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 3140 of 75 papers

TitleStatusHype
Distantly Supervised NER with Partial Annotation Learning and Reinforcement LearningCode0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
Glyce: Glyph-vectors for Chinese Character RepresentationsCode0
HREB-CRF: Hierarchical Reduced-bias EMA for Chinese Named Entity RecognitionCode0
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word SegmentationCode0
MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity RecognitionCode0
Porous Lattice-based Transformer Encoder for Chinese NERCode0
Rethinking the Value of Gazetteer in Chinese Named Entity RecognitionCode0
Simplify the Usage of Lexicon in Chinese NERCode0
Student-Powered Digital Scholarship CoLab Project in the HKUST Library: Develop a Chinese Named-Entity Recognition (NER) Tool within One Semester from the Ground UpCode0
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