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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 51–60 of 75 papers

TitleStatusHype
Chinese Named Entity Recognition Augmented with Lexicon MemoryCode0
Dice Loss for Data-imbalanced NLP TasksCode0
Porous Lattice-based Transformer Encoder for Chinese NERCode0
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph NetworkCode0
A Lexicon-Based Graph Neural Network for Chinese NER—0
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
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
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