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Massih R Amini

3 accepted papers

2024

Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains

COLING 2024main

Pretrained Language Models (PLMs) are the de facto backbone of most state-of-the-art NLP systems. In this paper, we introduce a family of domain-specific pretrained PLMs for French, focusing on three important domains: transcribed speech, medicine, and law. We use a transformer architecture based on…

2023

Low-Rank Updates of pre-trained Weights for Multi-Task Learning

ACL 2023findings

Multi-Task Learning used with pre-trained models has been quite popular in the field of Natural Language Processing in recent years. This framework remains still challenging due to the complexity of the tasks and the challenges associated with fine-tuning large pre-trained models. In this paper, we…

Cited by 6SourcePDFScholar
2017

Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification

NeurIPS 2017poster

We address the problem of multi-class classification in the case where the number of classes is very large. We propose a double sampling strategy on top of a multi-class to binary reduction strategy, which transforms the original multi-class problem into a binary classification problem over pairs of…