September 28, 2021 Presentation Open Access

Sylvia Melzer; Stefan Thiemann; Jost Gippert

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{"@context":"https://schema.org/","@id":"http://doi.org/10.25592/uhhfdm.9672","@type":"PresentationDigitalDocument","creator":[{"@id":"https://orcid.org/0000-0002-0144-5429","@type":"Person","affiliation":"Universit\u00e4t Hamburg","name":"Sylvia Melzer"},{"@id":"https://orcid.org/0000-0001-8300-2519","@type":"Person","affiliation":"Universit\u00e4t Hamburg","name":"Stefan Thiemann"},{"@type":"Person","affiliation":"Universit\u00e4t Hamburg, Goethe-Universit\u00e4t Frankfurt am Main","name":"Jost Gippert"}],"datePublished":"2021-09-28","description":"<p>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.</p>\n\n<p>This entry includes the following peer-reviewed abstracts and presentations from the CHAI workshop.</p>\n\n<ul>\n\t<li>Hagen Peukert: <strong>Phonemic Text Transcription Enhances Automated Morpheme Detection: the Importance of Knowing Which Information is Used from the Input </strong>(<a href=\"https://www.fdr.uni-hamburg.de/record/9672/files/KI2021_CHAI_submission1.zip?download=1\">download submission</a>)</li>\n\t<li>Samantha Kent, Hans-Christian Schmitz: <strong> Discourse Process Mining</strong> (<a href=\"https://www.fdr.uni-hamburg.de/record/9672/files/KI2021_CHAI_submission2.zip?download=1\">download submission</a>)</li>\n\t<li>Theresa Krumbiegel, Albert Pritzkau, Hans-Christian Schmitz: <strong>Distant Reading and Event Extraction </strong><br>\n\t(<a href=\"https://www.fdr.uni-hamburg.de/record/9672/files/KI2021_CHAI_submission3.zip?download=1\">download submission</a>)</li>\n\t<li>Felix Kuhr, Tanya Braun: <strong>Context-aware Document Annotation </strong>(<a href=\"https://www.fdr.uni-hamburg.de/record/9672/files/KI2021_CHAI_submission4.zip?download=1\">download submission</a>)</li>\n\t<li>Simon Schiff, Ralf M&ouml;ller: <strong>On Human-Aware Information Seeking</strong> (<a href=\"https://www.fdr.uni-hamburg.de/record/9672/files/KI2021_CHAI_submission5.zip?download=1\">download submission</a>)</li>\n\t<li>Ralf M&ouml;ller: <strong>Humanities-Centered AI: From Machine Learning to Machine Training</strong> (<a href=\"https://www.fdr.uni-hamburg.de/record/9672/files/KI2021_CHAI_submission6.zip?download=1\">download submission</a>)</li>\n</ul>","identifier":"http://doi.org/10.25592/uhhfdm.9672","inLanguage":{"@type":"Language","alternateName":"eng","name":"English"},"keywords":["UWA","CSMC","KI2021","AI","DL01","Data Linking","CHAI","Humanities","RFF"],"license":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Humanities-Centred AI (CHAI)","url":"https://www.fdr.uni-hamburg.de/record/9672"}