As an important fine-grained sentiment analysis problem, aspect-based sentiment analysis
(ABSA), aiming to analyze and understand people's opinions at the aspect level, has been …

In contrast to earlier ABSA studies primarily concentrating on individual sentiment
components, recent research has ventured into more complex ABSA tasks encompassing …

Generative methods greatly promote aspect-based sentiment analysis via generating a
sequence of sentiment elements in a specified format. However, existing studies usually …

We introduce InstructABSA, an instruction learning paradigm for Aspect-Based Sentiment
Analysis (ABSA) subtasks. Our method introduces positive, negative, and neutral examples …

Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …

Generative models have demonstrated impressive results on Aspect-based Sentiment
Analysis (ABSA) tasks, particularly for the emerging task of extracting Aspect-Category …

Sequence generation demonstrates promising performance in recent information extraction
efforts, by incorporating large-scale pre-trained Seq2Seq models. This paper investigates …

Aspect-based sentiment analysis is a long-standing research interest in the field of opinion
mining, and in recent years, researchers have gradually shifted their focus from simple …

Recently, aspect sentiment quad prediction has received widespread attention in the field of
aspect-based sentiment analysis. Existing studies extract quadruplets via pre-trained …

This paper describes the SIGHAN-2024 shared task for Chinese dimensional aspect-based
sentiment analysis (ABSA), including task description, data preparation, performance …