Investigating the Effectiveness of Representations Based on Pretrained Transformer-based Language Models in Active Learning for Labelling Text Datasets

21 April 2020

Papers citing "Investigating the Effectiveness of Representations Based on Pretrained Transformer-based Language Models in Active Learning for Labelling Text Datasets"

5 / 5 papers shown

Title
Active Few-Shot Learning with FASLInternational Conference on Applications of Natural Language to Data Bases (NLDB), 2022 Thomas Müller Guillermo Pérez-Torró Angelo Basile Marc Franco-Salvador VLM 160 24 0 20 Apr 2022
A Rationale-Centric Framework for Human-in-the-loop Machine LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Jinghui Lu Linyi Yang Brian Mac Namee Yue Zhang 131 43 0 24 Mar 2022
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules Wei Tan Lan Du Wray Buntine 99 34 0 27 Oct 2021
Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers Christopher Schröder A. Niekler Martin Potthast 134 91 0 12 Jul 2021
A Survey of Active Learning for Text Classification using Deep Neural Networks Christopher Schröder A. Niekler 109 107 0 17 Aug 2020