57 citations · 138 across the 3 of their papers we have counts for
4 papers
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann +122
Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained…
EFSG: Evolutionary Fooling Sentences Generator
Marco Di Giovanni, Marco Brambilla
Large pre-trained language representation models (LMs) have recently collected a huge number of successes in many NLP tasks. In 2018 BERT, and later its successors (e.g. RoBERTa),…
Information disorders on Italian Facebook during COVID-19 infodemic
Alessandro Celestini, Marco Di Giovanni, Stefano Guarino +1
In this work we carry out an exploratory analysis of online conversations on the Italian Facebook during the recent COVID-19 pandemic. We analyze the circulation of controversial t…
Physical Symmetries Embedded in Neural Networks
M. Mattheakis, P. Protopapas, D. Sondak +2
Neural networks are a central technique in machine learning. Recent years have seen a wave of interest in applying neural networks to physical systems for which the governing dynam…