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Wilfried Logerais

2 accepted papers

2021

PROTAUGMENT: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning

ACL 2021long

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, we propose ProtAugment, a meta-learning algorithm for short texts classification (the intent detection task). ProtAugment…

2020

Few-shot Pseudo-Labeling for Intent Detection

COLING 2020main

In this paper, we introduce a state-of-the-art pseudo-labeling technique for few-shot intent detection. We devise a folding/unfolding hierarchical clustering algorithm which assigns weighted pseudo-labels to unlabeled user utterances. We show that our two-step method yields significant improvement o…