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Named Entity Recognition

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TitleStatusHype
H-COAL: Human Correction of AI-Generated Labels for Biomedical Named Entity Recognition—0
Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical TasksCode1
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
Extracting periodontitis diagnosis in clinical notes with RoBERTa and regular expression—0
Use GPT-J Prompt Generation with RoBERTa for NER Models on Diagnosis Extraction of Periodontal Diagnosis from Electronic Dental Records—0
SegMix: A Simple Structure-Aware Data Augmentation Method—0
GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and DatasetsCode1
Uncertainty Estimation on Sequential Labeling via Uncertainty TransmissionCode0
Universal NER: A Gold-Standard Multilingual Named Entity Recognition BenchmarkCode1
Self-Improving for Zero-Shot Named Entity Recognition with Large Language ModelsCode1
GLiNER: Generalist Model for Named Entity Recognition using Bidirectional TransformerCode2
Learning Mutually Informed Representations for Characters and SubwordsCode0
How good are Large Language Models on African Languages?—0
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative LearningCode0
calamanCy: A Tagalog Natural Language Processing ToolkitCode1
Developing a Named Entity Recognition Dataset for TagalogCode1
GIELLM: Japanese General Information Extraction Large Language Model Utilizing Mutual Reinforcement Effect—0
Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related LanguagesCode0
1SPU: 1-step Speech Processing Unit—0
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse FinetuningCode0
Less than One-shot: Named Entity Recognition via Extremely Weak SupervisionCode0
Injecting Categorical Labels and Syntactic Information into Biomedical NER—0
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?—0
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition—0
LLMaAA: Making Large Language Models as Active AnnotatorsCode1
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