17 citations · 27 across the 13 of their papers we have counts for
6 papers · 1 filter
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts
Clément Morand, Anne-Laure Ligozat, Aurélie Névéol
The compute requirements associated with training Artificial Intelligence (AI) models have increased exponentially over time. Optimisation strategies aim to reduce the energy consu…
Extracting Information in a Low-resource Setting: Case Study on Bioinformatics Workflows
Clémence Sebe, Sarah Cohen-Boulakia, Olivier Ferret +1
Bioinformatics workflows are essential for complex biological data analyses and are often described in scientific articles with source code in public repositories. Extracting detai…
What Can Natural Language Processing Do for Peer Review?
Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen +21
The number of scientific articles produced every year is growing rapidly. Providing quality control over them is crucial for scientists and, ultimately, for the public good. In mod…
A Benchmark Evaluation of Clinical Named Entity Recognition in French
Nesrine Bannour, Christophe Servan, Aurélie Névéol +1
Background: Transformer-based language models have shown strong performance on many Natural LanguageProcessing (NLP) tasks. Masked Language Models (MLMs) attract sustained interest…
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
Lisa Raithel, Hui-Syuan Yeh, Shuntaro Yada +11
User-generated data sources have gained significance in uncovering Adverse Drug Reactions (ADRs), with an increasing number of discussions occurring in the digital world. However,…
Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting
Marco Naguib, Xavier Tannier, Aurélie Névéol
Large language models (LLMs) have become the preferred solution for many natural language processing tasks. In low-resource environments such as specialized domains, their few-shot…