Significant amounts of information available today contain references to places on earth.
Traditionally such information has been held as structured data and was the concern of …

Human spatial concepts, such as the concept of place, are not immediately translatable to
the geometric foundations of spatial databases and information systems developed over the …

The field of Spatial Humanities has advanced substantially in the past years. The
identification and extraction of toponyms and spatial information mentioned in historical text …

This paper presents a machine learning method for disambiguating place references in text.
Solving this task can have important applications in the digital humanities and computational …

How do humanities scholars make sense of new or otherwise unfamiliar archives? Is there a
role for computational text analysis in the process of sensemaking? We propose that topic …

ABSTRACT In the Trading Consequences project, historians, computational linguists, and
computer scientists collaborated to develop a text mining system that extracts information …

In this paper, we evaluate automated techniques, based on a hierarchical representation for
the Earth's surface and leveraging SVM classifiers, for assigning geospatial coordinates to …

We present here a discussion about different methods to perform Named Entity Recognition
tasks in order to extract geographic entities from the English translation of an Armenian text …

Search has been unfairly maligned within digital humanities big data research. While many
digital tools lack a wide audience due to the uncertainty of researchers regarding their …

In the UK, the national Research Excellence Framework (REF) is almost upon us. For the
uninitiated, this is a regular assessment of the research outputs and environment of …