@inproceedings{alcoforado-etal-2024-random,
title = "From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning",
author = "Alcoforado, Alexandre and
Ferraz, Thomas Palmeira and
Okamura, Lucas Hideki and
Fama, Israel Campos and
Lavado, Arnold Moya and
Bueno, B{\'a}rbara Dias and
Veloso, Bruno and
Costa, Anna Helena Reali",
editor = "Gamallo, Pablo and
Claro, Daniela and
Teixeira, Ant{\'o}nio and
Real, Livy and
Garcia, Marcos and
Oliveira, Hugo Gon{\c{c}}alo and
Amaro, Raquel",
booktitle = "Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1",
month = mar,
year = "2024",
address = "Santiago de Compostela, Galicia/Spain",
publisher = "Association for Computational Lingustics",
url = "https://aclanthology.org/2024.propor-1.50/",
pages = "492--502"
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%0 Conference Proceedings
%T From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning
%A Alcoforado, Alexandre
%A Ferraz, Thomas Palmeira
%A Okamura, Lucas Hideki
%A Fama, Israel Campos
%A Lavado, Arnold Moya
%A Bueno, Bárbara Dias
%A Veloso, Bruno
%A Costa, Anna Helena Reali
%Y Gamallo, Pablo
%Y Claro, Daniela
%Y Teixeira, António
%Y Real, Livy
%Y Garcia, Marcos
%Y Oliveira, Hugo Gonçalo
%Y Amaro, Raquel
%S Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1
%D 2024
%8 March
%I Association for Computational Lingustics
%C Santiago de Compostela, Galicia/Spain
%F alcoforado-etal-2024-random
%U https://aclanthology.org/2024.propor-1.50/
%P 492-502
Markdown (Informal)
[From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning](https://aclanthology.org/2024.propor-1.50/) (Alcoforado et al., PROPOR 2024)
ACL
- Alexandre Alcoforado, Thomas Palmeira Ferraz, Lucas Hideki Okamura, Israel Campos Fama, Arnold Moya Lavado, Bárbara Dias Bueno, Bruno Veloso, and Anna Helena Reali Costa. 2024. From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning. In Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1, pages 492–502, Santiago de Compostela, Galicia/Spain. Association for Computational Lingustics.