Recently, pre-trained language models (PLMs), especially pre-trained bidirectional encoder
representations from transformers (BERT), have improved the performance of aspect-based …

Opinion summarization can facilitate user's decision-making by mining the salient review
information. However, due to the lack of sufficient annotated data, most of the early works …

Abstract Machine understanding and thinking require prior knowledge consisting of explicit
and implicit knowledge. The current knowledge base contains various explicit knowledge …

Attacks launched from IoT networks can cause significant damage to critical network
systems and services. IoT networks may contain a large volume of devices. Protecting these …

A multigranulation rough set (MGRS) model is an expansion of the Pawlak rough set, in
which the uncertain concept is characterized by optimistic and pessimistic upper/lower …

With the world becoming more and more reliant on technology, we are transitioning from a
society that values rational evaluation over intuitive thinking to one in which both of those …

Text classification assigns predefined categories to text using machine learning models
based onlearned patterns on extracted features. Feature-level sparsity occurs as not all …

A multigranulation rough set (MGRS) model is an expansion of the Pawlak rough set, in
which the uncertain concept is characterized by optimistic and pessimistic upper/lower …