September 28, 2021 Presentation Open Access

Sylvia Melzer; Stefan Thiemann; Jost Gippert

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  <identifier identifierType="DOI">10.25592/uhhfdm.9672</identifier>
  <creators>
    <creator>
      <creatorName>Sylvia Melzer</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0144-5429</nameIdentifier>
      <affiliation>Universität Hamburg</affiliation>
    </creator>
    <creator>
      <creatorName>Stefan Thiemann</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-8300-2519</nameIdentifier>
      <affiliation>Universität Hamburg</affiliation>
    </creator>
    <creator>
      <creatorName>Jost Gippert</creatorName>
      <affiliation>Universität Hamburg, Goethe-Universität Frankfurt am Main</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Humanities-Centred AI (CHAI)</title>
  </titles>
  <publisher>Universität Hamburg</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>UWA</subject>
    <subject>CSMC</subject>
    <subject>KI2021</subject>
    <subject>AI</subject>
    <subject>DL01</subject>
    <subject>Data Linking</subject>
    <subject>CHAI</subject>
    <subject>Humanities</subject>
    <subject>RFF</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-09-28</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Presentation</resourceType>
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    <alternateIdentifier alternateIdentifierType="url">https://www.fdr.uni-hamburg.de/record/9672</alternateIdentifier>
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    <relatedIdentifier relatedIdentifierType="URL" relationType="IsReviewedBy">https://www.conferences.uni-hamburg.de/event/204/</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementedBy">http://ceur-ws.org/Vol-3093/</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsPartOf">10.25592/uhhfdm.9671</relatedIdentifier>
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  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;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.&lt;/p&gt;

&lt;p&gt;This entry includes the following peer-reviewed abstracts and presentations from the CHAI workshop.&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Hagen Peukert: &lt;strong&gt;Phonemic Text Transcription Enhances Automated Morpheme Detection: the Importance of Knowing Which Information is Used from the Input &lt;/strong&gt;(&lt;a href="https://www.fdr.uni-hamburg.de/record/9672/files/KI2021_CHAI_submission1.zip?download=1"&gt;download submission&lt;/a&gt;)&lt;/li&gt;
	&lt;li&gt;Samantha Kent, Hans-Christian Schmitz: &lt;strong&gt; Discourse Process Mining&lt;/strong&gt; (&lt;a href="https://www.fdr.uni-hamburg.de/record/9672/files/KI2021_CHAI_submission2.zip?download=1"&gt;download submission&lt;/a&gt;)&lt;/li&gt;
	&lt;li&gt;Theresa Krumbiegel, Albert Pritzkau, Hans-Christian Schmitz: &lt;strong&gt;Distant Reading and Event Extraction &lt;/strong&gt;&lt;br&gt;
	(&lt;a href="https://www.fdr.uni-hamburg.de/record/9672/files/KI2021_CHAI_submission3.zip?download=1"&gt;download submission&lt;/a&gt;)&lt;/li&gt;
	&lt;li&gt;Felix Kuhr, Tanya Braun: &lt;strong&gt;Context-aware Document Annotation &lt;/strong&gt;(&lt;a href="https://www.fdr.uni-hamburg.de/record/9672/files/KI2021_CHAI_submission4.zip?download=1"&gt;download submission&lt;/a&gt;)&lt;/li&gt;
	&lt;li&gt;Simon Schiff, Ralf M&amp;ouml;ller: &lt;strong&gt;On Human-Aware Information Seeking&lt;/strong&gt; (&lt;a href="https://www.fdr.uni-hamburg.de/record/9672/files/KI2021_CHAI_submission5.zip?download=1"&gt;download submission&lt;/a&gt;)&lt;/li&gt;
	&lt;li&gt;Ralf M&amp;ouml;ller: &lt;strong&gt;Humanities-Centered AI: From Machine Learning to Machine Training&lt;/strong&gt; (&lt;a href="https://www.fdr.uni-hamburg.de/record/9672/files/KI2021_CHAI_submission6.zip?download=1"&gt;download submission&lt;/a&gt;)&lt;/li&gt;
&lt;/ul&gt;</description>
    <description descriptionType="Other">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.</description>
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