Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences


CEDIFOR (Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences) is a Digital Humanities Centre, established in 2014. We intend to contribute to bridging the gap between research in the Humanities and computer based methods, and help researchers to master the characteristic problems in this process. We provide methodological expertise for advising researchers from the Humanities, Social, and Educational Sciences on adopting computer based methods in their research. This concerns the planning and operational stage of projects as well as the long-term provision of result data.

CEDIFOR is built on the experiences, the expertise, and the infrastructure of the LOEWE Research Cluster "Digital Humanities—Integrated Preparation and Analysis of Text Based Corpora" (2011-2014). More information on the project can be found on its webpage.


The centre sees itself as an innovative, research based platform for researchers from all fields of the Humanities. It offers a series of novel services for multi-modal data and supports the processing of research topics beyond established paradigms. CEDIFOR aims to provide innovative research along three dimensions, as displayed and explained in the chart below.




Research in CEDIFOR is mostly channelled in pilot projects and associated projects. An up-to-date list of those projects can be found on the CEDIFOR webpage.



Various research topics from CEDIFOR have been addressed in the following course:

  • Summer Term 2015: Text Analytics: Digital Humanities (Regular Seminar) 


Student theses


  • Konstantin Wolf (supervised by Dr. Hatem Mousselly-Sergieh, Prof. Dr. Iryna Gurevych): Entity Linking Annotation System for Historical Articles, 2017
  • Lasse Stelzer (supervised by Johannes Daxenberger, Prof. Dr. Iryna Gurevych) Enriching Translations of Cuneiform Documents by Linkification, 2016
  • Darjush Siahdohoni (supervised by Johannes Daxenberger and Prof. Dr. Iryna Gurevych) A User Interface for Semantic Search on Translations of Cuneiform Documents, Technische Universität Darmstadt, 2016.
  • Manuel Spari (supervised by Johannes Daxenberger and Prof. Dr. Iryna Gurevych) Automatic Text Classification for Recognizing Scientific Reasoning and Argumentation in German, Technische Universität Darmstadt, 2015.
  • Patrick Lerner (supervised by Johannes Daxenberger, Lucie Flekova, Prof. Dr. Iryna Gurevych) Designing a User Interface for Data Analysis and Feature Engineering in Text Classification, Technische Universität Darmstadt, 2015.


Further information




Additional Attributes


An Arranged Marriage: Integrating DKPro Core in the Language Analysis Portal

Milen Kouylekov, Emanuele Lapponi, Stephan Oepen, Richard Eckart de Castilho
In: Proceedings of the CLARIN Annual Conference 2017, p. online, September 2017

Neural, Multimodal, Energy-based Approach for Knowledge Graph Completion

Hatem Mousselly-Sergieh, Iryna Gurevych, Stefan Roth
In: Language-Learning-Logic Workshop (3L 2017), September 2017

EGOlink: Supporting Editors of Online Historical Sources through Automatic Link Discovery

Hatem Mousselly-Sergieh, Michael Piotrowski, Iryna Gurevych
In: Proceedings of the Digital Humanities 2017, p. 758--761, August 2017

Distantly Supervised POS Tagging of Low-Resource Languages under Extreme Data Sparsity: The Case of Hittite

Maria Sukhareva, Francesco Fuscagni, Johannes Daxenberger, Susanne Görke, Doris Prechel, Iryna Gurevych
In: LaTeCH-CLfL '17 Proceedings of the 11th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, p. 95--104, August 2017
[Online-Edition: https://github.com/UKPLab/latech-clfl2017-hittitenlppipeline]

Representation and Interchange of Linguistic Annotation. An In-Depth, Side-by-Side Comparison of Three Designs

Richard Eckart de Castilho, Nancy Ide, Emanuele Lapponi, Stephan Oepen, Keith Suderman, Erik Velldal, Marc Verhagen
In: Proceedings of the 11th Linguistics Annotation Workshop (LAW XI) at EACL 2017, p. 67--75, April 2017
Association for Computational Linguistics

Semantische Suche in Ausgestorbenen Sprachen: Eine Fallstudie für das Hethitische

Johannes Daxenberger, Susanne Görke, Darjush Siahdohoni, Iryna Gurevych, Doris Prechel
In: DHd 2017 - Digitale Nachhaltigkeit: Konferenzabstracts, p. 196-200, February 2017
[Online-Edition: https://github.com/UKPLab/DHd2017-semsearch-cuneiform]

On the "How" and "Why" of Emergent Role Behaviors in Wikipedia

Ofer Arazy, Hila Lifshitz-Assaf, Oded Nov, Johannes Daxenberger, Martina Balestra, Coye Cheshire
In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, p. 2039-2051, February 2017

Domain-Specific Aspects of Scientific Reasoning and Argumentation: Insights from Automatic Coding

Johannes Daxenberger, Andras Csanadi, Christian Ghanem, Ingo Kollar, Iryna Gurevych
In: Scientific Reasoning and Argumentation: The Roles of Domain-Specific and Domain-General Knowledge, p. to appear, 2017
Taylor & Francis


CEDIFOR is funded by the Federal Ministry of Education and Research.

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