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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
Named Entity Recognition for Social Media Texts with Semantic AugmentationCode1
Improving Named Entity Recognition by External Context Retrieving and Cooperative LearningCode1
MarkBERT: Marking Word Boundaries Improves Chinese BERTCode1
SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NERCode1
Adaptive Threshold Selective Self-Attention for Chinese NER0
A New Multifractal-based Deep Learning Model for Text Mining0
Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition0
DAML: Chinese Named Entity Recognition with a fusion method of data-augmentation and meta-learning0
Attribute based Chinese Named Entity Recognition and Disambiguation0
CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset0
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