From 8be260f18af557270d422bb82e31428043a3f163 Mon Sep 17 00:00:00 2001 From: Binny Mathew Date: Fri, 7 Aug 2020 15:16:27 +0530 Subject: [PATCH] dehate-bert Model Card (#6254) Added citation and paper links. --- .../dehatebert-mono-french/README.md | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/model_cards/Hate-speech-CNERG/dehatebert-mono-french/README.md b/model_cards/Hate-speech-CNERG/dehatebert-mono-french/README.md index 914426d5f..703b3acaf 100644 --- a/model_cards/Hate-speech-CNERG/dehatebert-mono-french/README.md +++ b/model_cards/Hate-speech-CNERG/dehatebert-mono-french/README.md @@ -1,2 +1,20 @@ This model is used detecting **hatespeech** in **French language**. The mono in the name refers to the monolingual setting, where the model is trained using only English language data. It is finetuned on multilingual bert model. The model is trained with different learning rates and the best validation score achieved is 0.692094 for a learning rate of 3e-5. Training code can be found at this [url](https://github.com/punyajoy/DE-LIMIT) + + + +### For more details about our paper + +Sai Saketh Aluru, Binny Mathew, Punyajoy Saha and Animesh Mukherjee. "[Deep Learning Models for Multilingual Hate Speech Detection](https://arxiv.org/abs/2004.06465)". Accepted at ECML-PKDD 2020. + +***Please cite our paper in any published work that uses any of these resources.*** + +~~~ +@article{aluru2020deep, + title={Deep Learning Models for Multilingual Hate Speech Detection}, + author={Aluru, Sai Saket and Mathew, Binny and Saha, Punyajoy and Mukherjee, Animesh}, + journal={arXiv preprint arXiv:2004.06465}, + year={2020} +} + +~~~