Large Language Models (LLMs) recently demonstrated extraordinary capability in various
natural language processing (NLP) tasks including language translation, text generation …

Immersive technology, especially virtual reality (VR), transforms education. It offers
immersive and interactive learning experiences. This study presents a systematic review …

The growth of the Internet has expanded the amount of data expressed by users across
multiple platforms. The availability of these different worldviews and individuals' emotions …

Simple yet effective data augmentation techniques have been proposed for sentence-level
and sentence-pair natural language processing tasks. Inspired by these efforts, we design …

Pre-training on graph neural networks (GNNs) aims to learn transferable knowledge for
downstream tasks with unlabeled data, and it has recently become an active research area …

Named entity recognition (NER) remains challenging when entity mentions can be
discontinuous. Existing methods break the recognition process into several sequential steps …

Considering data insufficiency in metal additive manufacturing (AM), transfer learning (TL)
has been adopted to extract knowledge from source domains (eg, completed printings) to …

Background: Nurses are at the forefront of the COVID-19 pandemic. During the pandemic,
nurses have faced an elevated risk of exposure and have experienced the hazards related …

Pretrained contextual language models proposed in the recent past have been reported to
achieve state-of-the-art performances in many natural language processing (NLP) tasks …

In the field of text classification, researchers have repeatedly shown the value of transformer-
based models such as Bidirectional Encoder Representation from Transformers (BERT) and …