68 citations · 145 across the 9 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.CL2021★ 8 cited
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…
cs.CL2021
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…