Chinese Named Entity Recognition
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Benchmarks
MSRA
Weibo NER
OntoNotes 4
Resume NER
MSRA Dev
OntoNotes 5.0
SighanNER
Most implemented
ERNIE: Enhanced Representation through Knowledge Integration
A Unified MRC Framework for Named Entity Recognition
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
TENER: Adapting Transformer Encoder for Named Entity Recognition
Dice Loss for Data-imbalanced NLP Tasks
DiffusionNER: Boundary Diffusion for Named Entity Recognition
Papers
Logits-Constrained Framework with RoBERTa for Ancient Chinese NER
This paper presents a Logits-Constrained (LC) framework for Ancient Chinese Named Entity Recognition (NER), evaluated on the EvaHan 2025 benchmark. Our two-stage model integrates GujiRoBERTa for contextual encoding and a…
Chinese Named Entity RecognitionModel Selectionnamed-entity-recognitionNamed Entity Recognition+3Student-Powered Digital Scholarship CoLab Project in the HKUST Library: Develop a Chinese Named-Entity Recognition (NER) Tool within One Semester from the Ground Up
Starting in February 2024, the HKUST Library further extended the scope of AI literacy to AI utilization, which focuses on fostering student involvement in utilizing state-of-the-art technologies in the projects that ini…
Chinese Named Entity Recognitionnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+1HREB-CRF: Hierarchical Reduced-bias EMA for Chinese Named Entity Recognition
Incorrect boundary division, complex semantic representation, and differences in pronunciation and meaning often lead to errors in Chinese Named Entity Recognition(CNER). To address these issues, this paper proposes HREB…
Chinese Named Entity Recognitionnamed-entity-recognitionNamed Entity RecognitionCRENER: A Character Relation Enhanced Chinese NER Model
Chinese Named Entity Recognition (NER) is an important task in information extraction, which has a significant impact on downstream applications. Due to the lack of natural separators in Chinese, previous NER methods mos…
Chinese Named Entity Recognitionmodelnamed-entity-recognitionNamed Entity Recognition+3Unified Lattice Graph Fusion for Chinese Named Entity Recognition
Integrating lexicon into character-level sequence has been proven effective to leverage word boundary and semantic information in Chinese named entity recognition (NER). However, prior approaches usually utilize feature …
Chinese Named Entity Recognitionnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+1Supplementary Features of BiLSTM for Enhanced Sequence Labeling
Sequence labeling tasks require the computation of sentence representations for each word within a given sentence. A prevalent method incorporates a Bi-directional Long Short-Term Memory (BiLSTM) layer to enhance the seq…
Aspect-Based Sentiment AnalysisChinese Named Entity Recognitionnamed-entity-recognitionNamed Entity Recognition (NER)+6