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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 41–50 of 75 papers

TitleStatusHype
Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition—0
Distill and Calibrate: Denoising Inconsistent Labeling Instances for Chinese Named Entity Recognition—0
Improving Chinese Named Entity Recognition by Search Engine Augmentation—0
Improving Model Generalization: A Chinese Named Entity Recognition Case Study—0
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text—0
基于多任务标签一致性机制的中文命名实体识别(Chinese Named Entity Recognition based on Multi-task Label Consistency Mechanism)—0
Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources—0
Logits-Constrained Framework with RoBERTa for Ancient Chinese NER—0
M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains—0
NCUEE-NLP at SemEval-2022 Task 11: Chinese Named Entity Recognition Using the BERT-BiLSTM-CRF Model—0
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