AI can support research in the Humanities making it easier and more efficient. It is thus essential that AI practitioners and Humanities scholars take a Humanities-centred approach to the development, deployment and application of AI methods for the Humanities.
This entry includes the following peer-reviewed abstracts and presentations from the CHAI workshop.
Hagen Peukert: Phonemic Text Transcription Enhances Automated Morpheme Detection: the Importance of Knowing Which Information is Used from the Input (download submission)
Samantha Kent, Hans-Christian Schmitz: Discourse Process Mining (download submission)
Theresa Krumbiegel, Albert Pritzkau, Hans-Christian Schmitz: Distant Reading and Event Extraction
(download submission)
Felix Kuhr, Tanya Braun: Context-aware Document Annotation (download submission)
Simon Schiff, Ralf Möller: On Human-Aware Information Seeking (download submission)
Ralf Möller: Humanities-Centered AI: From Machine Learning to Machine Training (download submission)
The KI2021 workshop – Humanities-Centred AI was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC 2176 'Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796.