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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 741–750 of 1729 papers

TitleStatusHype
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
Handling and extracting key entities from customer conversations using Speech recognition and Named Entity recognition—0
Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All—0
Finetuning BERT on Partially Annotated NER CorporaCode0
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