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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 711–720 of 1729 papers

TitleStatusHype
CLGP: Multi-Feature Embedding based Cross-Attention for Chinese NER—0
Fine-grained Location Extraction via Curriculum Learning—0
Fine-grained Named Entity Annotation for Finnish—0
Fine-grained Named Entity Annotations for German Biographic Interviews—0
BiTeM at WNUT 2020 Shared Task-1: Named Entity Recognition over Wet Lab Protocols using an Ensemble of Contextual Language Models—0
FinEst BERT and CroSloEngual BERT: less is more in multilingual models—0
CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition—0
Fine Tuning Named Entity Extraction Models for the Fantasy Domain—0
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages—0
Annotating and normalizing biomedical NEs with limited knowledge—0
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