Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches

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 Ext...

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Bibliographic Details
Main Authors:	Gomes, Juliana Resplande Santanna, Garcia, Eduardo Augusto Santos, Junior, Adalberto Ferreira Barbosa, Rodrigues, Ruan Chaves, Silva, Diogo Fernandes Costa, Maia, Dyonnatan Ferreira, da Silva, Nádia Félix Felipe, Filho, Arlindo Rodrigues Galvão, Soares, Anderson da Silva
Format:	Journal Article
Language:	English
Published:	08-11-2023
Subjects:	Computer Science - Computation and Language
Online Access:	Get full text
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Description
Summary:	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.
Bibliography:	urn:nbn:de:0074-3202-9
DOI:	10.48550/arxiv.2311.05051