In recent years, transformer-based models have emerged as powerful tools for natural
language processing tasks, demonstrating remarkable performance in several domains …

Today we have tons of information posted on the web every day regarding job supply and
demand which has heavily affected the job market. The online enrolling process has thus …

Transforming building code information into a machine-processable format is essential for
automated compliance checking, yet it presents significant challenges. A prompt-based …

While traditional manual knowledge management methods indicate the intelligent approach
in the whole-process engineering consulting, related studies like NLP technologies still …

In the event of a fire within a tunnel, the rapid and substantial increase in temperature can
prompt swift fractures within the concrete lining. This situation can severely compromise the …

Abstract The field of Natural Language Processing (NLP) has evolved with, and as well as
influenced, recent advances in Artificial Intelligence (AI) and computing technologies …

In recent years, the significance of Environmental, Social, and Governance criteria in
assessing financial investments has grown significantly. This paper presents an AI-driven …

Knowledge graphs have emerged as a useful resource and tool for representing real-world
entities and their relations, which gained increasing importance in the fields of deep learning …

The crucial task of analysing the complex dynamics of the research landscape and
uncovering the latest insights from the scientific literature is of paramount importance to …

In light of the continuous evolution of cyber threats and the escalating frequency of
cyberattacks, cybersecurity knowledge graphs have emerged as vital tools for …