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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 4150 of 75 papers

TitleStatusHype
FLAT: Chinese NER Using Flat-Lattice TransformerCode2
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text0
FGN: Fusion Glyph Network for Chinese Named Entity RecognitionCode1
CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for ChineseCode2
Chinese Named Entity Recognition Augmented with Lexicon MemoryCode0
TENER: Adapting Transformer Encoder for Named Entity RecognitionCode3
Dice Loss for Data-imbalanced NLP TasksCode0
Porous Lattice-based Transformer Encoder for Chinese NERCode0
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram RepresentationsCode1
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph NetworkCode0
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