Investigating the Effectiveness of Representations Based on Pretrained
Transformer-based Language Models in Active Learning for Labelling Text
Datasets
Papers citing "Investigating the Effectiveness of Representations Based on Pretrained Transformer-based Language Models in Active Learning for Labelling Text Datasets"
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 Active Few-Shot Learning with FASLInternational Conference on Applications of Natural Language to Data Bases (NLDB), 2022 |
 A Rationale-Centric Framework for Human-in-the-loop Machine LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
