Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/160187
Author(s): Oliveira, Hugo Gonçalo
Rodrigues, Ricardo
Ferreira, Bruno
Silvano, Maria da Purificação
Carvalho, Sara
Title: BATS-PT: assessing portuguese masked language models in lexico-semantic analogy solving and relation completion
Issue Date: 2024
Abstract: This paper presents BATS-PT, the manual translation of the lexicographic portion of the Bigger Analogy Test Set (BATS) to European Portuguese. BATS-PT covers ten types of lexicosemantic analogies and can be used for assessing word embeddings and language models. Following this, the dataset is showcased while assessing two pretrained language models for Portuguese, BERTimbau and Albertina, in two tasks: analogy solving and relation completion, both in zero- and few-shot mask-prediction approaches. Experiments reveal different performance across relations and, in both tasks, the best overall performance was achieved with BERTimbau, in a five-shot scenario. We further discuss the limitations of the reported experiments and directions towards future improvements in these tasks
URI: https://hdl.handle.net/10216/160187
Source: Proceedings of the 16th International Conference on Computational Processing of Portuguese, PROPOR 2024, Santiago de Compostela, Galicia/Spain, 12-15 March, 2024
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
Appears in Collections:FLUP - Artigo em Livro de Atas de Conferência Internacional

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