EviDENce

Ego Documents Events modelling – how individuals recall mass violence

Much of our historical knowledge is based on oral or written accounts of eyewitnesses, particularly in cases of war and violence, when regular ways of documentation and record keeping are often absent. EviDENce studies how eyewitnesses have reported on violence, and how this may have changed over time. We use a collection of nearly 500 oral history interview transcripts about the Second World War as well as the ego-documents (diaries, memoires, letters, autobiographies) available in Nederlab, covering a time span of 5 centuries.

Whereas humanities scholars are good at assessing texts for their relevance in relation to a particular topic or research question such as this, automating this assessment process, for example for distant reading or creating large corpora, is known to be problematic, especially when it comes to implicit mentions. EviDENce compares existing NLP methods to detect fragments containing mentions of such an ambiguous concept as violence, in a way that meets the standards of historical research.

Participating organisations

Netherlands eScience Center
Vrije Universiteit Amsterdam
Social Sciences & Humanities
Social Sciences & Humanities
KNAW Humanities Cluster
NIOD Institute for War, Holocaust and Genocide Studies
Open University in the Netherlands

Output

Digital technologies to analyze eyewitness accounts of mass violence

Author(s): Netherlands eScience Center
Published in 2017
  • 1.
    Author(s): Hogervorst,Susan, Brugman, Hennie, Buitinck, Lars, van Erp, Marieke, Klijn, Edwin, Kouw, Wouter, de Vos, Martine, Willemsen, Jeroen
    Published in 2018
  • 2.
    Published in 2018

Team

SH
Susan Hogervorst
Principal investigator
Open University
Meiert Grootes
Meiert Grootes
eScience Research Engineer
Netherlands eScience Center
Jisk Attema
Senior eScience Research Engineer
Netherlands eScience Center
WK
Wouter Kouw
eScience Research Engineer
Netherlands eScience Center
MdV
Martine de Vos
eScience Research Engineer
Netherlands eScience Center
MvE
Marieke van Erp
Co-Applicant
KNAW Humanities Cluster
HB
Hennie Brugman
Co-Applicant
KNAW Humanities Cluster
JW
Jeroen Willemsen
Co-Applicant
Open Universiteit Nederland
EK
Edwin Klijn
Co-Applicant
NIOD Netwerk Oorlogsbronnen

Related projects

Morphological Parser for Inflectional Languages Using Deep Learning

Morphological encoding for texts in Syriac using machine learning

Updated 2 weeks ago
Finished

Uncovering Networks of Corporate Control

An interactive web-based platform to investigate the dynamics of global corporate networks

Updated 20 months ago
Finished

Bridging the gap

Digital humanities and the Arabic-Islamic corpus

Updated 25 months ago
Finished

GlamMap

Visual analytics for the world’s library data

Updated 21 months ago
Finished

Mining Shifting Concepts Through Time (ShiCo)

Word vector text mining change and continuity in conceptual history

Updated 25 months ago
Finished

DiLiPaD

A new approach to the history of parliamentary communication and discourse

Updated 21 months ago
Finished

News streams

Recording history in large news streams

Updated 20 months ago
Finished

Texcavator

Facilitating and supporting large-scale text mining in the field of digital humanities

Updated 25 months ago
Finished

Related software

evidence

EV

doc2vec-based assisted close reading with support for abstract concept-based search and context-based search

Updated 29 months ago
4 9

nlppln

NL

A flexible solution to build text mining workflows that allows you to quickly combine Natural Language Processing tools from different sources.

Updated 29 months ago
7 2