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 …

Aspect-based sentiment analysis is a fine-grained sentiment classification task. Recently,
graph neural networks over dependency trees have been explored to explicitly model …

Deep learning has become the dominant approach in addressing various tasks in Natural
Language Processing (NLP). Although text inputs are typically represented as a sequence …

Abstract Aspect Sentiment Triplet Extraction (ASTE) is an emerging sentiment analysis task.
Most of the existing studies focus on devising a new tagging scheme that enables the model …

Dependency trees have been intensively used with graph neural networks for aspect-based
sentiment classification. Though being effective, such methods rely on external dependency …

Abstract Aspect-based Sentiment Analysis (ABSA) aims to predict the sentiment polarity
towards a particular aspect in a sentence. Recently, graph neural networks based on …

Aspect-based sentiment analysis (ABSA) is a fine-grained task of sentiment analysis. To
better comprehend long complicated sentences and obtain accurate aspect-specific …

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment classification task.
Many recent works have used dependency trees to extract the relation between aspects and …

Aspect-based sentiment analysis (ABSA) aims at automatically inferring the specific
sentiment polarities toward certain aspects of products or services behind the social media …

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task that aims
to align aspects and corresponding sentiments for aspect-specific sentiment polarity …