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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 41–50 of 75 papers

TitleStatusHype
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence LabelingCode0
Classification Attention for Chinese NER—0
Chinese Named Entity Recognition with Graph-based Semi-supervised Learning Model—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
Unified Lattice Graph Fusion for Chinese Named Entity Recognition—0
Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism—0
Logits-Constrained Framework with RoBERTa for Ancient Chinese NER—0
CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities—0
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