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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1541–1550 of 1729 papers

TitleStatusHype
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
H2-Golden-Retriever: Methodology and Tool for an Evidence-Based Hydrogen Research Grantsmanship—0
Show:102550
← PrevPage 155 of 173Next →

No leaderboard results yet.