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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 801–810 of 1729 papers

TitleStatusHype
Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study—0
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling—0
Handling and extracting key entities from customer conversations using Speech recognition and Named Entity recognition—0
Context-aware Fine-tuning of Self-supervised Speech Models—0
HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition—0
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition—0
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends—0
HAREM: the first evaluation contest for Named Entity Recognition in Portuguese—0
H2-Golden-Retriever: Methodology and Tool for an Evidence-Based Hydrogen Research Grantsmanship—0
Content-Based Features to Rank Influential Hidden Services of the Tor Darknet—0
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