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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 501–510 of 1729 papers

TitleStatusHype
Designing Informative Metrics for Few-Shot Example Selection—0
A General and Flexible Multi-concept Parsing Framework for Multilingual Semantic Matching—0
DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity Recognition—0
Deep Learning Based Named Entity Recognition Models for Recipes—0
DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software EcosystemCode0
Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction—0
LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition—0
Re-Examine Distantly Supervised NER: A New Benchmark and a Simple ApproachCode0
Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting—0
C-ICL: Contrastive In-context Learning for Information Extraction—0
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