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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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TitleStatusHype
Using Domain Knowledge for Low Resource Named Entity Recognition—0
Using Word Embeddings to Translate Named Entities—0
SIR-NERD: A Chinese Named Entity Recognition and Disambiguation System using a Two-Stage Method—0
A Joint Chinese Named Entity Recognition and Disambiguation System—0
應用記憶增強條件隨機場域與之深度學習及自動化詞彙特徵於中文命名實體辨識之研究 (Leveraging Memory Enhanced Conditional Random Fields with Gated CNN and Automatic BAPS Features for Chinese Named Entity Recognition)—0
Distill and Calibrate: Denoising Inconsistent Labeling Instances for Chinese Named Entity Recognition—0
Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition—0
DAML: Chinese Named Entity Recognition with a fusion method of data-augmentation and meta-learning—0
A New Multifractal-based Deep Learning Model for Text Mining—0
CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset—0
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