SOTAVerified

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 1391–1400 of 1729 papers

TitleStatusHype
DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning—0
Digital Leafleting: Extracting Structured Data from Multimedia Online Flyers—0
Dissecting Span Identification Tasks with Performance Prediction—0
Distantly supervised end-to-end medical entity extraction from electronic health records with human-level quality—0
Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning—0
Distill and Calibrate: Denoising Inconsistent Labeling Instances for Chinese Named Entity Recognition—0
Distilling Large Language Models for Efficient Clinical Information Extraction—0
Distilling Named Entity Recognition Models for Endangered Species from Large Language Models—0
Distilling BERT into Simple Neural Networks with Unlabeled Transfer Data—0
Distributed Word Representations Improve NER for e-Commerce—0
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