Marco Büchler holds a Diploma in Computer Science. Since 2006 he has worked as a Research Associate in the Natural Language Processing Group at Leipzig University. From April 2008 to March 2011 he served as the technical Project Manager for the eAQUA project and continued to work in this capacity for the following eTRACES project. In March 2013 he received his PhD in the field of eHumanities. Since May 2014 he has led a Digital Humanities Research Group at the Göttingen Centre for Digital Humanities. His own research includes Natural Language Processing on Big Humanities Data. Specifically, he works on Historical Text Re-use Detection and its application in the business world. In addition to his primary responsibilities, Büchler manages the Medusa project, which is a large scale co-occurrence and n-gram framework, based on fast object storage as well as the TRACER framework for detecting historical text re-use. As of January 2020 he leads the Cultural Data Science Group at InfAI, Leipzig, Germany.
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An introduction to the special issue on the 2016 Göttingen Dialogues
An introduction to the special issue on the 2016 Göttingen Dialogues
The Göttingen Dialog in Digital Humanities is an initiative that started in 2015. This event creates a meeting place for researchers, students, and practitioners of Digital Humanities in Göttingen and neighbouring universities and research institutions. External speakers receive an invitation to provide a keynote lecture that is the starting point for thematic discussions and ensured several fruitful project collaborations. The best paper receives a 500 Euro award. Criteria are equally for the submitted paper and the presentation of the research during the Göttingen Dialog.
This special issue contains selected papers from a past event. It covers topics of historical and modern natural language processing, video analysis, and research on manuscripts and ornaments ranging from antiquity to today. A complete list of all presented papers is available under https://www.etrap.eu/activities/gddh-2016/ including both the video recordings of the presentation and the slides. Hazel Wilkinson received the best paper award for the contribution