September 28, 2021 Presentation Open Access

Sylvia Melzer; Stefan Thiemann; Jost Gippert

Dublin Core Export

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  <dc:creator>Sylvia Melzer</dc:creator>
  <dc:creator>Stefan Thiemann</dc:creator>
  <dc:creator>Jost Gippert</dc:creator>
  <dc:date>2021-09-28</dc:date>
  <dc:description>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)
</dc:description>
  <dc:identifier>https://www.fdr.uni-hamburg.de/record/9672</dc:identifier>
  <dc:identifier>10.25592/uhhfdm.9672</dc:identifier>
  <dc:identifier>oai:fdr.uni-hamburg.de:9672</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>url:https://www.csmc.uni-hamburg.de/ki2021-chai</dc:relation>
  <dc:relation>url:https://www.conferences.uni-hamburg.de/event/204/</dc:relation>
  <dc:relation>url:http://ceur-ws.org/Vol-3093/</dc:relation>
  <dc:relation>doi:10.25592/uhhfdm.9671</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>UWA</dc:subject>
  <dc:subject>CSMC</dc:subject>
  <dc:subject>KI2021</dc:subject>
  <dc:subject>AI</dc:subject>
  <dc:subject>DL01</dc:subject>
  <dc:subject>Data Linking</dc:subject>
  <dc:subject>CHAI</dc:subject>
  <dc:subject>Humanities</dc:subject>
  <dc:subject>RFF</dc:subject>
  <dc:title>Humanities-Centred AI (CHAI)</dc:title>
  <dc:type>info:eu-repo/semantics/lecture</dc:type>
  <dc:type>presentation</dc:type>
</oai_dc:dc>