[Background.] Empirical research in requirements engineering (RE) is a constantly evolving
topic, with a growing number of publications. Several papers address this topic using …

Science across all disciplines has become increasingly data-driven, leading to additional
needs with respect to software for collecting, processing and analysing data. Thus …

In the last decade, scholarly graphs became fundamental to storing and managing scholarly
knowledge in a structured and machine-readable way. Methods and tools for discovery and …

Software is a central part of modern science, and knowledge of its use is crucial for the
scientific community with respect to reproducibility and attribution of its developers. Several …

Nowadays, with increasing open knowledge graphs (KGs) being published on the Web,
users depend on open data portals and search engines to find KGs. However, existing …

Named entity recognition as a fundamental task plays a crucial role in accomplishing some
of the tasks and applications in natural language processing. In the age of Internet …

Abstract Knowledge extraction from scientific literature is a major issue, crucial to promoting
transparency, reproducibility, and innovation in the research community. In this work, we …

This paper aims to tackle the challenge posed by the increasing integration of software tools
in research across various disciplines by investigating the application of Falcon-7b for the …

Datasets collecting software mentions from scholarly publications can potentially be used for
research into the software that has been used in the published research, as well as into the …

There is today no standard way to reference research datasets and software in scientific
communication. Emerging editorial workflows and supporting infrastructures dedicated to …