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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 561–570 of 1729 papers

TitleStatusHype
Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All—0
Frustratingly Easy Label Projection for Cross-lingual TransferCode1
PUnifiedNER: A Prompting-based Unified NER System for Diverse DatasetsCode1
Finetuning BERT on Partially Annotated NER CorporaCode0
GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and AugmentationCode1
ConNER: Consistency Training for Cross-lingual Named Entity RecognitionCode1
H2-Golden-Retriever: Methodology and Tool for an Evidence-Based Hydrogen Research Grantsmanship—0
DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity RecognitionCode0
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction—0
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF—0
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