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RAdam
On the Variance of the Adaptive Learning Rate and BeyondLM-LSTM-CRF
Empower Sequence Labeling with Task-Aware Language ModelTransformer-Clinic
Understanding the Difficulty of Training TransformersLD-Net
Efficient Contextualized Representation: Language Model Pruning for Sequence LabelingLightNER
Inference with state-of-the-art models (pre-trained by LD-Net / AutoNER / VanillaNER / ...)ReHession
Heterogeneous Supervision for Relation Extraction: A Representation Learning ApproachTorch-Scope
A Toolkit for Training, Tracking, Saving Models and Syncing ResultsVanilla_NER
Vanilla Sequence Labeling w. Char-LSTM-CRFArabicNER
Arabic NER system with a strong performanceRaw-to-End
Raw-to-End Name Entity Recognition in Social MediaContent-Propagation
Community Detection Based on Structure and ContentFast-Furious-Paper
Reading Group @ DMGReinMax
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