This article considers the interdisciplinary opportunities and challenges of working with
digital cultural heritage, such as digitized historical newspapers, and proposes an integrated …

As large language models such as BERT are becoming increasingly popular in Digital
Humanities (DH), the question has arisen as to how such models can be made suitable for …

Abstract Machine learning models learn low-dimensional representations from complex high-
dimensional data. Not only computer science but also social science has benefited from the …

This paper explores the potential of contextualized word embeddings (CWEs) as a new tool
in the history, philosophy, and sociology of science (HPSS) for studying contextual and …

Digital libraries have a key role in cultural heritage as they provide access to our culture and
history by indexing books and historical documents (newspapers and letters). Digital …

Virtual particles are peculiar objects. They figure prominently in much of theoretical and
experimental research in elementary particle physics. But exactly what they are is far from …

In the evolving field of Natural Language Processing, understanding the temporal context of
text is increasingly crucial. This study investigates methods to incorporate temporal …

In digital studies of the use of words in intellectual history, meaning is measured based on
the idea of Firth that a word can be characterized by the company it keeps. The words that …

Graph databases are a straightforward technology for storing knowledge graphs. However,
they are schema-less. We apply the GraphBRAIN Schema (GBS) format to describe Time …

Historical research can be enhanced by methods and resources from various disciplines,
ranging from psychology to computer linguistics. With a creative and innovative perspective …