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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 51–60 of 75 papers

TitleStatusHype
A Lexicon-Based Graph Neural Network for Chinese NER—0
A Unified MRC Framework for Named Entity RecognitionCode1
Classification Attention for Chinese NER—0
Dependency-Guided LSTM-CRF for Named Entity RecognitionCode0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
Simplify the Usage of Lexicon in Chinese NERCode0
ERNIE 2.0: A Continual Pre-training Framework for Language UnderstandingCode3
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
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word SegmentationCode0
ERNIE: Enhanced Representation through Knowledge IntegrationCode3
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