BERT : A Machine Learning Model for Efficient Natural Language Processing

BERT is a machine learning model that serves as a foundation for improving the accuracy of machine learning in Natural Language Processing (NLP). Pre-trained models based on BERT that were re-trained on big data to solve a variety of domain-specific NLP tasks are publicly available (BioBERT for biomedical text, SciBERT for scientific publications, ClinicalBERT for clinical notes). This is a task to predict masked words. It can be used to proofread sentences. BERT-based model to perform named entity recognition from text.