Attention has arguably become one of the most important concepts in the deep learning
field. It is inspired by the biological systems of humans that tend to focus on the distinctive …

Attention is an increasingly popular mechanism used in a wide range of neural
architectures. The mechanism itself has been realized in a variety of formats. However …

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 …

Stance detection refers to the task of extracting the standpoint (Favor, Against or Neither)
towards a target in given texts. Such research gains increasing attention with the …

Aspect-based sentiment analysis is a fine-grained sentiment analysis task, which needs to
detection the sentiment polarity towards a given aspect. Recently, graph neural models over …

Aspect-based sentiment analysis aims to determine the sentiment polarity towards a specific
aspect in online reviews. Most recent efforts adopt attention-based neural network models to …

Due to their inherent capability in semantic alignment of aspects and their context words,
attention mechanism and Convolutional Neural Networks (CNNs) are widely applied for …

Question-answering plays an important role in e-commerce as it allows potential customers
to actively seek crucial information about products or services to help their purchase …

Attention Model has now become an important concept in neural networks that has been
researched within diverse application domains. This survey provides a structured and …

Aspect-based sentiment analysis (ABSA), which aims to identify fine-grained opinion polarity
towards a specific aspect, is a challenging subtask of sentiment analysis (SA). In this paper …