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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 11–20 of 75 papers

TitleStatusHype
Adaptive Threshold Selective Self-Attention for Chinese NER—0
Two Languages Are Better than One: Bilingual Enhancement for Chinese Named Entity Recognition—0
Application of Data Encryption in Chinese Named Entity Recognition—0
Rethinking the Value of Gazetteer in Chinese Named Entity RecognitionCode0
CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities—0
NCUEE-NLP at SemEval-2022 Task 11: Chinese Named Entity Recognition Using the BERT-BiLSTM-CRF Model—0
NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity RecognitionCode1
Boundary Smoothing for Named Entity RecognitionCode1
Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition—0
Using Domain Knowledge for Low Resource Named Entity Recognition—0
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