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

Title
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning
Type
Article in International Conference Proceedings Book
Year
2024
Authors
Alcoforado, A
(Author)
Other
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Okamura, LH
(Author)
Other
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Fama, IC
(Author)
Other
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Dias Bueno, BF
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Lavado, AM
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Ferraz, TP
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Reali Costa, AH
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Conference proceedings International
Pages: 492-502
16th International Conference on Computational Processing of Portuguese, PROPOR 2024
Santiago de Compostela, 2024
Other information
Authenticus ID: P-00Z-X89
Language: English
Type (Professor's evaluation): Scientific
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