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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 331–340 of 1729 papers

TitleStatusHype
Uncertainty Estimation on Sequential Labeling via Uncertainty TransmissionCode0
On the Analysis of Cross-Lingual Prompt Tuning for Decoder-based Multilingual Model—0
GLiNER: Generalist Model for Named Entity Recognition using Bidirectional TransformerCode2
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative LearningCode0
Developing a Named Entity Recognition Dataset for TagalogCode1
calamanCy: A Tagalog Natural Language Processing ToolkitCode1
Less than One-shot: Named Entity Recognition via Extremely Weak SupervisionCode0
Injecting Categorical Labels and Syntactic Information into Biomedical NER—0
mahaNLP: A Marathi Natural Language Processing Library—0
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?—0
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