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cs.CL2021
Active Learning by Acquiring Contrastive Examples
Katerina Margatina, Giorgos Vernikos, Loïc Barrault +1
Common acquisition functions for active learning use either uncertainty or diversity sampling, aiming to select difficult and diverse data points from the pool of unlabeled data, r…
cs.CL2021★ 1 cited
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning
Katerina Margatina, Loïc Barrault, Nikolaos Aletras
Recent Active Learning (AL) approaches in Natural Language Processing (NLP) proposed using off-the-shelf pretrained language models (LMs). In this paper, we argue that these LMs ar…