70 citations · 71 across the 4 of their papers we have counts for
6 papers
Calibrate to Interpret
Gregory Scafarto, Nicolas Posocco, Antoine Bonnefoy
Trustworthy machine learning is driving a large number of ML community works in order to improve ML acceptance and adoption. The main aspect of trustworthy machine learning are the…
Estimating Expected Calibration Errors
Nicolas Posocco, Antoine Bonnefoy
Uncertainty in probabilistic classifiers predictions is a key concern when models are used to support human decision making, in broader probabilistic pipelines or when sensitive au…
AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT
Léo Bouscarrat, Antoine Bonnefoy, Cécile Capponi +1
This paper explains our participation in task 1 of the CASE 2021 shared task. This task is about multilingual event extraction from news. We focused on sub-task 4, event informatio…
Multilingual enrichment of disease biomedical ontologies
Léo Bouscarrat, Antoine Bonnefoy, Cécile Capponi +1
Translating biomedical ontologies is an important challenge, but doing it manually requires much time and money. We study the possibility to use open-source knowledge bases to tran…
STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings
Léo Bouscarrat, Antoine Bonnefoy, Thomas Peel +1
This paper introduces STRASS: Summarization by TRAnsformation Selection and Scoring. It is an extractive text summarization method which leverages the semantic information in exist…
Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso
Antoine Bonnefoy, Valentin Emiya, Liva Ralaivola +1
Recent computational strategies based on screening tests have been proposed to accelerate algorithms addressing penalized sparse regression problems such as the Lasso. Such approac…