PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for the Neural Processing of Portuguese

• Type: Article in International Scientific Journal
• Date: 2024

Authors

Osório, TF (Author) Other; Leite, B (Author) Other; Henrique Lopes Cardoso (Author) FEUP; Gomes, L (Author) Other; Rodrigues, J (Author) Other; Santos, R (Author) Other; Branco, A (Author) Other

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Scopus - 0 Citations

Other information

Authenticus ID: P-010-Z9J

Abstract (EN): Leveraging research on the neural modelling of Portuguese, we contribute a collection of datasets for an array of language processing tasks and a corresponding collection of fine-tuned neural language models on these downstream tasks. To align with mainstream benchmarks in the literature, originally developed in English, and to kick start their Portuguese counterparts, the datasets were machine-translated from English with a state-of-the-art translation engine. The resulting PORTULAN ExtraGLUE benchmark is a basis for research on Portuguese whose improvement can be pursued in future work. Similarly, the respective fine-tuned neural language models, developed with a low-rank adaptation approach, are made available as baselines that can stimulate future work on the neural processing of Portuguese. All datasets and models have been developed and are made available for two variants of Portuguese: European and Brazilian. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10