Detect French Fake News by camemBERT model
-
Updated
Feb 21, 2020 - Jupyter Notebook
Detect French Fake News by camemBERT model
A statistical analysis on the hidden states of the the FlauBERT and camemBERT architecture. Use of the cosine similarity and variance of the embeddings.
Full code and most data (in accordance with CrowdTangle’s Terms of Service) supporting an article on what would remain on French-language Facebook if news content was removed
A codespace to run the French CamemBERT language model which is a great model for text prediction based on RoBERTa architecture through a minimalist web API.
This repository presents and compares BERT based models for extractive summarization, named entity recognition or both.
GLiner-TransbronchialBiopsy is a specialized NER system for extracting medical entities from transbronchial biopsy reports, focused on transplant rejection.
Add a description, image, and links to the camembert-model topic page so that developers can more easily learn about it.
To associate your repository with the camembert-model topic, visit your repo's landing page and select "manage topics."