Scientists are enthusiastically imagining ways in which artificial intelligence (AI) tools might
improve research. Why are AI tools so attractive and what are the risks of implementing them …

In the rapidly evolving field of large language models (LLMs), data augmentation (DA) has
emerged as a pivotal technique for enhancing model performance by diversifying training …

Contextualized embeddings are the preferred tool for modeling Lexical Semantic Change
(LSC). Current evaluations typically focus on a specific task known as Graded Change …

Automated stance detection and related machine learning methods can provide useful
insights for media monitoring and academic research. Many of these approaches require …

In the universe of Natural Language Processing, Transformer-based language models like
BERT and (Chat) GPT have emerged as lexical superheroes with great power to solve open …

Abstract Language change is influenced by many factors, but often starts from synchronic
variation, where multiple linguistic patterns or forms coexist, or where different speech …

Large Language Models (LLMs) have ushered in a new era of text annotation, as their ease-
of-use, high accuracy, and relatively low costs have meant that their use has exploded in …

Film festivals are a key component in the global film industry in terms of trendsetting,
publicity, trade, and collaboration. We present an unprecedented analysis of the …

In today's digital age, images have become powerful tools for politicians to engage with their
voters on social media platforms. Visual content possesses a unique emotional appeal that …

This study examines the effectiveness of Kitab Af'al in enhancing Arabic vocabulary
acquisition using the Senior Teaches Junior (STJ) approach. The research evaluates how …