GitHub / hperer02 / PII-data-detection
This project was developed for a Kaggle competition focused on detecting Personally Identifiable Information (PII) in student writing. The primary objective was to build a robust model capable of identifying PII with high recall. The DeBERTa v3 transformer model was chosen for this task after comparing its performance with other transformer models.
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PURL: pkg:github/hperer02/PII-data-detection
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 162 KB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: deberta-v3-large, huggingface-transformers, longformer, name-entity-recognition, natural-language-processing, pii-detection, roberta-model, spacy-nlp