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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 551–560 of 1729 papers

TitleStatusHype
SetGNER: General Named Entity Recognition as Entity Set GenerationCode0
Improving Precancerous Case Characterization via Transformer-based Ensemble Learning—0
AUC Maximization for Low-Resource Named Entity Recognition—0
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain TasksCode0
WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity RecognitionCode0
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain CorporaCode0
GNN-SL: Sequence Labeling Based on Nearest Examples via GNNCode0
Few-Shot Nested Named Entity Recognition—0
Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu FrameworkCode1
Handling and extracting key entities from customer conversations using Speech recognition and Named Entity recognition—0
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