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View Code? Open in Web Editor NEWDocument classification of Digital Markets Act public consultations using transfer learning with BERT
Document classification of Digital Markets Act public consultations using transfer learning with BERT
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Outline
Main problem – JANINE
•motivation: classifying texts with relevance on EU policymaking (e.g., Digital Markets Act)
•classifying "unstructured"/"varying structured" pdfs with NLP
Method: Using machine learning/deep learning methods for unstructured text classification
(vs simple rule-based systems) – LORENZO & JANINE
A. Unstructured text: parsing, data cleaning, language detection, tokenizing
B. Embeddings, gradient boosting (briefly as the “simpler” method)
C. Transfer learning with BERT
BERT: freezing initial layers, fine-tuning last layers
Initial/Expected Results – LUKAS & ADELLE
•model metrics
•comparing performance (BERT vs. others)
•Visualization
Recommendations – LUKAS
•how to integrate results with policy process
•feedback from different stakeholders
•recommend technical and policy stuff
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