4 citations · 4 across the 5 of their papers we have counts for
7 papers
Metadata Might Make Language Models Better
Kaspar Beelen, Daniel van Strien
This paper discusses the benefits of including metadata when training language models on historical collections. Using 19th-century newspapers as a case study, we extend the time-m…
MapReader: A Computer Vision Pipeline for the Semantic Exploration of Maps at Scale
Kasra Hosseini, Daniel C. S. Wilson, Kaspar Beelen +1
We present MapReader, a free, open-source software library written in Python for analyzing large map collections (scanned or born-digital). This library transforms the way historia…
Neural Language Models for Nineteenth-Century English
Kasra Hosseini, Kaspar Beelen, Giovanni Colavizza +1
We present four types of neural language models trained on a large historical dataset of books in English, published between 1760-1900 and comprised of ~5.1 billion tokens. The lan…
Living Machines: A study of atypical animacy
Mariona Coll Ardanuy, Federico Nanni, Kaspar Beelen +7
This paper proposes a new approach to animacy detection, the task of determining whether an entity is represented as animate in a text. In particular, this work is focused on atypi…
Finding Talk About the Past in the Discourse of Non-Historians
Alex Olieman, Kaspar Beelen, Jaap Kamps
A heightened interest in the presence of the past has given rise to the new field of memory studies, but there is a lack of search and research tools to support studying how and wh…
Good Applications for Crummy Entity Linkers? The Case of Corpus Selection in Digital Humanities
Alex Olieman, Kaspar Beelen, Milan van Lange +2
Over the last decade we have made great progress in entity linking (EL) systems, but performance may vary depending on the context and, arguably, there are even principled limitati…