Deep learning approaches have achieved great success in the field of Natural Language
Processing (NLP). However, directly training deep neural models often suffer from overfitting …

User-generated content on various Internet platforms is growing explosively, and contains
valuable information that helps decision-making. However, extracting this information …

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 …

Universally modeling all typical information extraction tasks (UIE) with one generative
language model (GLM) has revealed great potential by the latest study, where various IE …

Aspect-based sentiment analysis (ABSA) has been extensively studied in recent years,
which typically involves four fundamental sentiment elements, including the aspect category …

Aspect-based sentiment analysis (ABSA) has received increasing attention recently. Most
existing work tackles ABSA in a discriminative manner, designing various task-specific …

Product reviews contain a large number of implicit aspects and implicit opinions. However,
most of the existing studies in aspect-based sentiment analysis ignored this problem. In this …

Aspect based sentiment analysis (ABSA) involves three fundamental subtasks: aspect term
extraction, opinion term extraction, and aspect-level sentiment classification. Early works …

Aspect sentiment triplet extraction (ASTE), which aims to identify aspects from review
sentences along with their corresponding opinion expressions and sentiments, is an …

So far, aspect-based sentiment analysis (ABSA) has involved with total seven subtasks, in
which, however the interactions among them have been left unexplored sufficiently. This …