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Nabila Abraham

2 accepted papers

2022

Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports

NAACL 2022industry

Pretrained Transformer based models finetuned on domain specific corpora have changed the landscape of NLP. However, training or fine-tuning these models for individual tasks can be time consuming and resource intensive. Thus, a lot of current research is focused on using transformers for multi-task…

Cited by 1SourcePDFScholar
2022

Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks

EMNLP 2022industry

Large pretrained Transformer-based language models like BERT and GPT have changed the landscape of Natural Language Processing (NLP). However, fine tuning such models still requires a large number of training examples for each target task, thus annotating multiple datasets and training these models…

Cited by 1SourcePDFScholar