Overview of ASQP-PT at IberLEF 2025: Overview of the Task on Aspect-Sentiment Quadruple Prediction in Portuguese

Emerson P. Lopes, Gabriel A. Gomes, Alexandre Thurow Bender, Ricardo M. Araujo, Larissa A. de Freitas, Ulisses B. Corrêa

Resumen


This paper reports the results of ASQP-PT 2025, the competition on Aspect-Sentiment Quadruple Prediction in Portuguese at IberLEF 2025. The ABCD Team participated in all four tasks, using an end-to-end approach based on encoderdecoder transformer models, fine-tuned for this task. The VerbaNexAI team participated in the Aspect Extraction task, with an approach based on fine-tuning a transformer encoder model as a sequence labeling problem. The ABCD Team obtained 0.46 of F-Measure in the ASQP task, surpassing the competition baseline of 0.40 F-Measure.

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