Summary of Ellen: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition, by Haris Riaz et al.
ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognitionby Haris Riaz, Razvan-Gabriel Dumitru, Mihai…
ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognitionby Haris Riaz, Razvan-Gabriel Dumitru, Mihai…
Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a…
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Modelsby Yuzhao Heng, Chunyuan…
Designing Informative Metrics for Few-Shot Example Selectionby Rishabh Adiga, Lakshminarayanan Subramanian, Varun ChandrasekaranFirst submitted to…
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Databy Sergei Bogdanov, Alexandre Constantin, Timothée Bernard, Benoit…
Re-Examine Distantly Supervised NER: A New Benchmark and a Simple Approachby Yuepei Li, Kang Zhou,…
Graph Neural Network and NER-Based Text Summarizationby Imaad Zaffar Khan, Amaan Aijaz Sheikh, Utkarsh SinhaFirst…
Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Studyby Imed Keraghel, Stanislas…
Analyzing Regional Impacts of Climate Change using Natural Language Processing Techniquesby Tanwi Mallick, John Murphy,…
RoBERTurk: Adjusting RoBERTa for Turkishby Nuri TasFirst submitted to arxiv on: 7 Jan 2024CategoriesMain: Computation…