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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 1141–1150 of 1729 papers

TitleStatusHype
GliLem: Leveraging GliNER for Contextualized Lemmatization in Estonian—0
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks—0
Global Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases—0
GlobalNER: Incorporating Non-local Information into Named Entity Recognition—0
Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition—0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER—0
GottBERT: a pure German Language Model—0
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction—0
Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering—0
Graph Neural Network and NER-Based Text Summarization—0
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