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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 451–460 of 1729 papers

TitleStatusHype
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning—0
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity RecognitionCode2
BAND: Biomedical Alert News DatasetCode0
FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual ModelsCode1
Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsCode1
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype LearningCode0
Translation and Fusion Improves Zero-shot Cross-lingual Information ExtractionCode0
DiffusionNER: Boundary Diffusion for Named Entity RecognitionCode1
Partial Annotation Learning for Biomedical Entity Recognition—0
Better Sampling of Negatives for Distantly Supervised Named Entity RecognitionCode0
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