SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 41–50 of 75 papers

TitleStatusHype
A New Multifractal-based Deep Learning Model for Text Mining—0
Distill and Calibrate: Denoising Inconsistent Labeling Instances for Chinese Named Entity Recognition—0
DAML: Chinese Named Entity Recognition with a fusion method of data-augmentation and meta-learning—0
CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset—0
MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity RecognitionCode0
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
Improving Model Generalization: A Chinese Named Entity Recognition Case Study—0
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis—0
Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism—0
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text—0
Show:102550
← PrevPage 5 of 8Next →

No leaderboard results yet.