2nd Workshop on Humanities-Centred Artificial Intelligence (CHAI 2022)

Link:
Autor/in:
Verlag/Körperschaft:
Universität Hamburg
Erscheinungsjahr:
2022
Medientyp:
Text
Schlagworte:
  • UWA
  • CSMC
  • KI2022
  • AI
  • RFF
  • Data Linking
  • DL01
  • CHAI
  • Humanities
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 presentations from the 2nd CHAI workshop.

    • Hagen Peukert: AI Approaches Overcome Variability Problems In Diachronic Text Analysis: The Case Of Identifying Bound Affixes in Middle English (download presentation 1)
    • Hussein Mohammed, Agnieszka Helman-Ważny: Understanding the Zhangzhung Nyengyu tsakali Collection using Computational Pattern Analysis (download presentation 2)
    • Jens Dörpinghaus: Social Network Analysis and Co-Occurrence: Identifying the Gaps
    • Simon Schiff, Magnus Bender, Ralf Möller: Embodiment of an Agent by a Pepper Robot for Explaining Retrieval Results (download presentation 4 and demo)
    • Haiyan Hu-von Hinüber, Sylvia Melzer: On the Awakening of the Buddhological Epigraphy and Philology from the AI (download presentation 5)

    The submitted presentations are included in this upload for which permission to publish has been granted.

  • The KI2022 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://ki2022.gi.de/ URL https://easychair.org/conferences/?conf=ki2022 DOI 10.25592/uhhfdm.10768
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:10769