Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches
November 08, 2023 ยท Declared Dead ยท ๐ IberLEF@SEPLN
"No code URL or promise found in abstract"
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Authors
Juliana Resplande Santanna Gomes, Eduardo Augusto Santos Garcia, Adalberto Ferreira Barbosa Junior, Ruan Chaves Rodrigues, Diogo Fernandes Costa Silva, Dyonnatan Ferreira Maia, Nรกdia Fรฉlix Felipe da Silva, Arlindo Rodrigues Galvรฃo Filho, Anderson da Silva Soares
arXiv ID
2311.05051
Category
cs.CL: Computation & Language
Citations
7
Venue
IberLEF@SEPLN
Last Checked
5 months ago
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.
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