Serge Ter Braake

Learn More
When NLP is used to support research in the humanities, new methodological issues come into play. NLP methods may introduce a bias in their analysis that can influence the results of the hypothesis a humanities scholar is testing. This paper addresses this issue in the context of BiographyNet a multi-disciplinary project involving NLP, Linked Data and(More)
The BiographyNet project aims at inspiring historians when setting up new research projects. The goal is to create a semantic knowledge base by extracting links between people, historic events, places and time periods from a variety of Dutch biographical dictionaries. A demonstrator will be developed providing visualization and browsing techniques for the(More)
Activists have a significant role in shaping social views and opinions. Social scientists study the events activists are involved in order to find out how activists shape our views. Unfortunately, individual sources may present incomplete, incorrect, or biased event descriptions. We present a method where we automatically extract event mentions from(More)
This paper proposes a methodology for studying canonisation of people in history with digital methods. These canons are for the most part culturally determined. For a select group of people, there is no doubt that they merit the necessary attention, but there is a large gray field of ‘second rate’ individuals who had an impact on history of which only a(More)
Semantic change and concept drift are studied in many different academic fields. Different domains have different understandings of what a concept and, thus, concept drift is making it harder for researchers to build upon work in other disciplines. In this paper, we aim to address this challenge and propose definitions for these phenomena which apply across(More)
  • 1