68 citations · 145 across the 9 of their papers we have counts for
10 papers
An investigation of structures responsible for gender bias in BERT and DistilBERT
Thibaud Leteno, Antoine Gourru, Charlotte Laclau +1
In recent years, large Transformer-based Pre-trained Language Models (PLM) have changed the Natural Language Processing (NLP) landscape, by pushing the performance boundaries of th…
ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning
Thomas Dopierre, Christophe Gravier, Wilfried Logerais
Recent research considers few-shot intent detection as a meta-learning problem: the model is learning to learn from a consecutive set of small tasks named episodes. In this work, w…
A Neural Few-Shot Text Classification Reality Check
Thomas Dopierre, Christophe Gravier, Wilfried Logerais
Modern classification models tend to struggle when the amount of annotated data is scarce. To overcome this issue, several neural few-shot classification models have emerged, yield…
Learning to Generate Wikipedia Summaries for Underserved Languages from Wikidata
Lucie-Aimée Kaffee, Hady Elsahar, Pavlos Vougiouklis +4
While Wikipedia exists in 287 languages, its content is unevenly distributed among them. In this work, we investigate the generation of open domain Wikipedia summaries in underserv…
NELL2RDF: Reading the Web, and Publishing it as Linked Data
José M. Giménez-García, Maísa Duarte, Antoine Zimmermann +3
NELL is a system that continuously reads the Web to extract knowledge in form of entities and relations between them. It has been running since January 2010 and extracted over 50,0…
Near-lossless Binarization of Word Embeddings
Julien Tissier, Christophe Gravier, Amaury Habrard
Word embeddings are commonly used as a starting point in many NLP models to achieve state-of-the-art performances. However, with a large vocabulary and many dimensions, these float…