From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning

Alexandre Alcoforado, Lucas Hideki Okamura, Israel Campos Fama, Bárbara Fernandes Dias Bueno, Arnold Moya Lavado, Thomas Palmeira Ferraz, Bruno Veloso, Anna Helena Reali Costa. From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning. In Pablo Gamallo 0001, Daniela Claro, António Teixeira, Livy Real, Marcos García 0001, Hugo Gonçalo Oliveira, Raquel Amaro, editors, Proceedings of the 16th International Conference on Computational Processing of Portuguese, PROPOR 2024, Santiago de Compostela, Galicia/Spain, 12-15 March, 2024. pages 492-502, Association for Computational Lingustics, 2024. [doi]

Abstract

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