From 5543efd5cc807d34f5c16985ec4bcef9e72d2a97 Mon Sep 17 00:00:00 2001 From: Moumeneb1 Date: Thu, 25 Jun 2020 07:56:07 +0200 Subject: [PATCH] Create README.md (#5259) --- .../README.md | 23 +++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 model_cards/moumeneb1/flaubert-base-cased-ecology_crisis/README.md diff --git a/model_cards/moumeneb1/flaubert-base-cased-ecology_crisis/README.md b/model_cards/moumeneb1/flaubert-base-cased-ecology_crisis/README.md new file mode 100644 index 0000000000..60d78626e4 --- /dev/null +++ b/model_cards/moumeneb1/flaubert-base-cased-ecology_crisis/README.md @@ -0,0 +1,23 @@ +# Flaubert-base-cased-ecology_crisis + +An adapted [__Flaubert/Flaubert_base-cased model__](https://github.com/getalp/Flaubert) Trained further on a Language modeling Task of unlabeled French tweets used to create the [CrisisDataset](https://github.com/DiegoKoz/french_ecological_crisis), The intermediate task of masqued language modeling helped us improve the results on our [paper](http://www.sciencedirect.com/science/article/pii/S0306457320300650) compared to the standard flaubert-base-cased model. + +If you use this pretrained model on your work, please cite us as follows 🤗 + +``` +@article{Kozlowski-et-al2020, +title = "A three-level classification of French tweets in ecological crises", +journal = "Information Processing & Management", +volume = "57", +number = "5", +pages = "102284", +year = "2020", +issn = "0306-4573", +doi = "https://doi.org/10.1016/j.ipm.2020.102284", +url = "http://www.sciencedirect.com/science/article/pii/S0306457320300650", +author = "Diego Kozlowski and Elisa Lannelongue and Frédéric Saudemont and Farah Benamara and Alda Mari and Véronique Moriceau and Abdelmoumene Boumadane", +keywords = "Crisis response from social media, Machine learning, Natural language processing, Transfer learning", +} + +``` +