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Named Entity Recognition

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TitleStatusHype
Learning Mutually Informed Representations for Characters and SubwordsCode0
How good are Large Language Models on African Languages?—0
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
Injecting Categorical Labels and Syntactic Information into Biomedical NER—0
Less than One-shot: Named Entity Recognition via Extremely Weak SupervisionCode0
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition—0
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?—0
Generating Medical Prescriptions with Conditional TransformerCode0
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods—0
S2F-NER: Exploring Sequence-to-Forest Generation for Complex Entity Recognition—0
CUNI Submission to MRL 2023 Shared Task on Multi-lingual Multi-task Information Retrieval—0
Natural Language Processing for Drug Discovery Knowledge Graphs: promises and pitfalls—0
WojoodNER 2023: The First Arabic Named Entity Recognition Shared Task—0
Towards Automated Recipe Genre Classification using Semi-Supervised Learning—0
A Boundary Offset Prediction Network for Named Entity RecognitionCode0
Toward a Critical Toponymy Framework for Named Entity Recognition: A Case Study of Airbnb in New York City—0
Neural Text Sanitization with Privacy Risk Indicators: An Empirical Analysis—0
A Survey on Semantic Processing Techniques—0
Leveraging Knowledge Graphs for Orphan Entity Allocation in Resume Processing—0
The Less the Merrier? Investigating Language Representation in Multilingual Models—0
Controlled Randomness Improves the Performance of Transformer Models—0
MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition—0
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