Named Entity Recognition (NER) Fine-Tuning

Labeled and preprocessed 5,000 unstructured legal documents to build a ground-truth dataset for company name and contract value extraction.

Fine-tuned a BERT-based transformer model, improving F1 classification score from 0.74 to 0.89 through active learning and hyperparameter optimization.