Humanities-Centred AI (CHAI)

Link:
Autor/in:
Verlag/Körperschaft:
Universität Hamburg
Erscheinungsjahr:
2021
Medientyp:
Text
Schlagworte:
  • UWA
  • CSMC
  • KI2021
  • AI
  • DL01
  • Data Linking
  • CHAI
  • Humanities
  • RFF
Beschreibung:

  • 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.
relatedIdentifier:
URL https://www.csmc.uni-hamburg.de/ki2021-chai URL https://www.conferences.uni-hamburg.de/event/204/ URL http://ceur-ws.org/Vol-3093/ DOI 10.25592/uhhfdm.9671
Lizenzen:
  • https://creativecommons.org/licenses/by/4.0/legalcode
  • info:eu-repo/semantics/openAccess
Quellsystem:
Forschungsdatenrepositorium der UHH
Interne Metadaten
Quelldatensatz
oai:fdr.uni-hamburg.de:9672