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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
FGN: Fusion Glyph Network for Chinese Named Entity RecognitionCode1
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram RepresentationsCode1
A Unified MRC Framework for Named Entity RecognitionCode1
Chinese NER Using Lattice LSTMCode1
Logits-Constrained Framework with RoBERTa for Ancient Chinese NER0
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
HREB-CRF: Hierarchical Reduced-bias EMA for Chinese Named Entity RecognitionCode0
CRENER: A Character Relation Enhanced Chinese NER Model0
Unified Lattice Graph Fusion for Chinese Named Entity Recognition0
Overview of the ROCLING 2022 Shared Task for Chinese Healthcare Named Entity Recognition0
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