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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 31–40 of 75 papers

TitleStatusHype
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
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis—0
Application of Data Encryption in Chinese Named Entity Recognition—0
Attribute based Chinese Named Entity Recognition and Disambiguation—0
CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities—0
Chinese Named Entity Recognition with Graph-based Semi-supervised Learning Model—0
Classification Attention for Chinese NER—0
CRENER: A Character Relation Enhanced Chinese NER Model—0
CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset—0
DAML: Chinese Named Entity Recognition with a fusion method of data-augmentation and meta-learning—0
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