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

Abstract Aspect Sentiment Triplet Extraction (ASTE) is one of the compound tasks of fine-
grained aspect-based sentiment analysis (ABSA), aiming at extracting the triplets of aspect …

Aspect Sentiment Triplet Extraction (ASTE) is an emerging task to extract a given sentence's
triplets, which consist of aspects, opinions, and sentiments. Recent studies tend to address …

Abstract Aspect Sentiment Triplet Extraction (ASTE) is a subtask of Aspect-based Sentiment
Analysis (ABSA). Recently, ASTE methods have achieved promising results. However, the …

Abstract Aspect Sentiment Triple Extraction (ASTE), a subtask of fine-grained sentiment
analysis, aims to extract aspect terms, opinion terms, and their corresponding sentiment …

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 …

Aspect sentiment quad prediction (ASQP) analyzes the aspect terms, opinion terms,
sentiment polarity, and aspect categories in a text. One challenge in this task is the scarcity …

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 …

Aspect Sentiment Triplet Extraction (ASTE) aims to co-extract the sentiment triplets in a given
corpus. Existing approaches within the pretraining-finetuning paradigm tend to either …

Aspect Sentiment Triplet Extraction (ASTE) is a burgeoning subtask of fine-grained
sentiment analysis, aiming to extract structured sentiment triplets from unstructured textual …