20 citations · 42 across the 9 of their papers we have counts for
8 papers · 1 filter
An Efficient Active Learning Pipeline for Legal Text Classification
Sepideh Mamooler, Rémi Lebret, Stéphane Massonnet +1
Active Learning (AL) is a powerful tool for learning with less labeled data, in particular, for specialized domains, like legal documents, where unlabeled data is abundant, but the…
Legal Transformer Models May Not Always Help
Saibo Geng, Rémi Lebret, Karl Aberer
Deep learning-based Natural Language Processing methods, especially transformers, have achieved impressive performance in the last few years. Applying those state-of-the-art NLP me…
Direction is what you need: Improving Word Embedding Compression in Large Language Models
Klaudia Bałazy, Mohammadreza Banaei, Rémi Lebret +2
The adoption of Transformer-based models in natural language processing (NLP) has led to great success using a massive number of parameters. However, due to deployment constraints…
Spoken dialect identification in Twitter using a multi-filter architecture
Mohammadreza Banaei, Rémi Lebret, Karl Aberer
This paper presents our approach for SwissText & KONVENS 2020 shared task 2, which is a multi-stage neural model for Swiss German (GSW) identification on Twitter. Our model outputs…
Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task
Alireza Mohammadshahi, Remi Lebret, Karl Aberer
In this paper, we propose a new approach to learn multimodal multilingual embeddings for matching images and their relevant captions in two languages. We combine two existing objec…
Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning
Hamza Harkous, Kassem Fawaz, Rémi Lebret +3
Privacy policies are the primary channel through which companies inform users about their data collection and sharing practices. These policies are often long and difficult to comp…