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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 61–70 of 75 papers

TitleStatusHype
CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionCode0
Glyce: Glyph-vectors for Chinese Character RepresentationsCode0
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention MechanismCode0
Distantly Supervised NER with Partial Annotation Learning and Reinforcement LearningCode0
Chinese NER Using Lattice LSTMCode1
M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains—0
Adversarial Learning for Chinese NER from Crowd Annotations—0
Using Word Embeddings to Translate Named Entities—0
Chinese Named Entity Recognition with Graph-based Semi-supervised Learning Model—0
Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources—0
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