Evaluation-Pertinence-Juridique-ML

Public

Évaluation de la pertinence (question ↔ article juridique) en français. Pipeline complet (prépa → modèles → soumission) avec CamemBERT en bi-encodeur calibré (MSE/Spearman), + variantes cross-encoder.

bi-encoder camembert cross-encoder deep-learning document-ranking information-retrievalinformation-retrieval machine-learning nlp pytorch relevance

Creat：2025-10-11T10:47:13

Update：2025-10-11T11:02:25

https://www.kaggle.com/competitions/juridia-hackhaton-relevance-competition/data

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