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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 341–350 of 1729 papers

TitleStatusHype
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition—0
Split-NER: Named Entity Recognition via Two Question-Answering-based ClassificationsCode1
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
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural NetworksCode1
Arabic Fine-Grained Entity Recognition—0
ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language AdaptersCode0
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances—0
WojoodNER 2023: The First Arabic Named Entity Recognition Shared Task—0
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