A named entity recognition system that is flexible and domain-independent by generating labels based on confidence scores. The model, a finetuned Roberta, can identify potential named entities and be customized to fit the needs of various tasks and applications through monitoring and fine-tuning. A Flask app is provided for visualisation.
transformer
named-entity-recognition
semi-supervised-learning
roberta
domain-independent-design
large-language-models
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Updated
Oct 5, 2021 - Jupyter Notebook