Artificial intelligence for graphs has achieved remarkable success in modelling complex
systems, ranging from dynamic networks in biology to interacting particle systems in physics …

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 …

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 …

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) is a natural language processing technique that
seeks to recognize and extract the sentiment connected to various qualities or aspects of a …

Document-level relation extraction (DocRE) models generally use graph networks to
implicitly model the reasoning skill (ie, pattern recognition, logical reasoning, coreference …

The end-to-end aspect-based sentiment analysis (ABSA) task remains to be a long-standing
challenge, which aims to extract the aspect term and then identify its sentiment orientation. In …

Aspect-based sentiment analysis (ABSA) is a subtask of sentiment classification, and the
difficulty is how to capture the sentiment aspect and sentiment polarity pairs in a sentence …

Aspect-Based Sentiment Analysis (ABSA) aims to predict the sentiment polarity of different
aspects in a sentence or document, which is a fine-grained task of natural language …

User preference mining is an application of data mining that attracts increasing attention.
Although most of the existing user preference mining methods achieved significant …