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

Translation-tailored Large language models (LLMs) exhibit remarkable translation
capabilities, even competing with supervised-trained commercial translation systems …

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 …

Dimensional aspect-based sentiment analysis (dimABSA) aims to recognize aspect-level
quadruples from reviews, offering a fine-grained sentiment description for user opinions. A …

Aspect sentiment quad prediction (ASQP) aims to predict the quad sentiment elements for a
given sentence, which is a critical task in the field of aspect-based sentiment analysis …

Text simplification has emerged as an increasingly useful application of AI for bridging the
communication gap in specialized fields such as medicine, where the lexicon is often …

Quadruple sentiment analysis is an essential task in aspect-based sentiment analysis that
aims to understand people's viewpoints by analyzing four elements in text: category, aspect …

Aspect sentiment quad prediction (ASQP) has garnered significant attention in aspect-based
sentiment analysis (ABSA). Current ASQP research primarily relies on pre-trained …

In this work we investigate the capability of Graph Attention Network for extracting aspect
and opinion terms. Aspect and opinion term extraction is posed as a token-level …

Generative models have shown excellent results in aspect-based sentiment analysis tasks
by predicting quadruples by setting specific template formats. The existing research predicts …