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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).

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Showing 51–60 of 75 papers

TitleStatusHype
Attribute based Chinese Named Entity Recognition and Disambiguation—0
M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains—0
Application of Data Encryption in Chinese Named Entity Recognition—0
Adversarial Learning for Chinese NER from Crowd Annotations—0
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis—0
NCUEE-NLP at SemEval-2022 Task 11: Chinese Named Entity Recognition Using the BERT-BiLSTM-CRF Model—0
A Mixed Morpho-Syntactic and Statistical Approach to Chinese Named Entity Recognition (Une approche mixte morpho-syntaxique et statistique pour la reconnaissance d'entit\'es nomm\'ees en langue chinoise) [in French]—0
Overview of the ROCLING 2022 Shared Task for Chinese Healthcare Named Entity Recognition—0
A Lexicon-Based Graph Neural Network for Chinese NER—0
Adaptive Threshold Selective Self-Attention for Chinese NER—0
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