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Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches (2311.05051v1)
Published 8 Nov 2023 in cs.CL
Abstract: Aspect-based Sentiment Analysis (ABSA) is a task whose objective is to classify the individual sentiment polarity of all entities, called aspects, in a sentence. The task is composed of two subtasks: Aspect Term Extraction (ATE), identify all aspect terms in a sentence; and Sentiment Orientation Extraction (SOE), given a sentence and its aspect terms, the task is to determine the sentiment polarity of each aspect term (positive, negative or neutral). This article presents we present our participation in Aspect-Based Sentiment Analysis in Portuguese (ABSAPT) 2022 at IberLEF 2022. We submitted the best performing systems, achieving new state-of-the-art results on both subtasks.
- Juliana Resplande Santanna Gomes (1 paper)
- Eduardo Augusto Santos Garcia (1 paper)
- Adalberto Ferreira Barbosa Junior (1 paper)
- Ruan Chaves Rodrigues (4 papers)
- Diogo Fernandes Costa Silva (2 papers)
- Dyonnatan Ferreira Maia (1 paper)
- Nádia Félix Felipe da Silva (3 papers)
- Arlindo Rodrigues Galvão Filho (3 papers)
- Anderson da Silva Soares (8 papers)