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              <identifier identifierType="DOI">10.25592/uhhfdm.16138</identifier>
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                  <creatorName>Sylvia Melzer</creatorName>
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                  <affiliation>Universität Hamburg</affiliation>
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                  <creatorName>Stefan Thiemann</creatorName>
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                  <affiliation>Universität Hamburg</affiliation>
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                  <creatorName>Hagen Peukert</creatorName>
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                  <affiliation>Universität Hamburg</affiliation>
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                  <creatorName>Erik Radisch</creatorName>
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                  <affiliation>Sächsische Akademie der Wissenschaften zu Leipzig</affiliation>
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              <titles>
                <title>4th Workshop on Humanities-Centred Artificial Intelligence (CHAI 2024)</title>
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              <publisher>Universität Hamburg</publisher>
              <publicationYear>2024</publicationYear>
              <subjects>
                <subject>UWA</subject>
                <subject>CSMC</subject>
                <subject>CHAI</subject>
                <subject>KI2024</subject>
                <subject>AI</subject>
                <subject>RFF</subject>
                <subject>Data Linking</subject>
                <subject>Large Language Models</subject>
                <subject>Humanities</subject>
                <subject>Data Usability</subject>
                <subject>Latent Semantic Indexing</subject>
                <subject>Automate Text Processing</subject>
                <subject>Analyze Legal Texts</subject>
                <subject>Dative ambiguity in Russian</subject>
                <subject>Palola Shahi Royal Genealogy</subject>
                <subject>Automatic Text Recognition</subject>
                <subject>OCR4all</subject>
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              <dates>
                <date dateType="Issued">2024-10-07</date>
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              <language>en</language>
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                <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;The presentations of the 4th CHAI workshop were as follows:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Hagen Peukert, Lucas F. Voges, S. Melzer&lt;br&gt;
	&lt;strong&gt;Keynote - Humanities in the Center of Data Usability: Data Visualization in Institutional Research Repositories &lt;/strong&gt;&lt;br&gt;
	&lt;a href="https://www.fdr.uni-hamburg.de/record/16138/files/presentation1b.pdf?download=1"&gt;(download presentation)&lt;/a&gt;&lt;/li&gt;
	&lt;li&gt;Jeffrey Wolf&lt;br&gt;
	&lt;strong&gt;The Challenges of Multilingualism in the Search for Ancient Wisdom: A Case Study of VERITRACE&amp;rsquo;S Text Matching Tool&lt;/strong&gt;*&lt;br&gt;
	&lt;a href="https://www.fdr.uni-hamburg.de/record/16138/files/presentation2.pdf?download=1"&gt;(download presentation)&lt;/a&gt;&lt;/li&gt;
	&lt;li&gt;Magnus Bender&lt;br&gt;
	&lt;strong&gt;Automate Text Processing for Schematically Analyzing Legal Texts &lt;/strong&gt;&lt;br&gt;
	&lt;a href="https://www.fdr.uni-hamburg.de/record/16138/files/presentation3.pdf?download=1"&gt;(download presentation)&lt;/a&gt;&lt;/li&gt;
	&lt;li&gt;Thomas Asselborn, Karsten Helmholz, Ralf M&amp;ouml;ller&lt;br&gt;
	&lt;strong&gt;Retrieving Information Presented on Webpages Using Large Language Models: A Case Study &lt;/strong&gt;&lt;br&gt;
	&lt;a href="https://www.fdr.uni-hamburg.de/record/16138/files/presentation4.pdf?download=1"&gt;(download presentation)&lt;/a&gt;&lt;/li&gt;
	&lt;li&gt;Edyta Jurkiewicz Rohrbacher&lt;br&gt;
	&lt;strong&gt;Translation task as a method for testing the syntactic competence of Large Language Models: Dative ambiguity in Russian &lt;/strong&gt;&lt;br&gt;
	&lt;a href="https://www.fdr.uni-hamburg.de/record/16138/files/presentation5.pdf?download=1"&gt;(download presentation)&lt;/a&gt;&lt;/li&gt;
	&lt;li&gt;Hui Xu, Thomas Asselborn, Haiyan Hu-von Hin&amp;uuml;ber, Oskar von Hin&amp;uuml;ber, Sylvia Melzer&lt;br&gt;
	&lt;strong&gt;Tracing the Palola Shahi Royal Genealogy by Fusing LLMs and Databases?: A Case Study &lt;/strong&gt;&lt;br&gt;
	&lt;a href="https://www.fdr.uni-hamburg.de/record/16138/files/presentation6.pdf?download=1"&gt;(download presentation)&lt;/a&gt;&lt;/li&gt;
	&lt;li&gt;Christian Reul, Maximilian N&amp;ouml;th, Herbert Baier, Florian Langhanki, Kevin Chadbourne&lt;br&gt;
	&lt;strong&gt;Invited presentation - Human Centred Open Source Automatic Text Recognition for the Humanities with OCR4all&lt;/strong&gt;&lt;br&gt;
	&lt;a href="https://www.fdr.uni-hamburg.de/record/16138/files/presentation7.pdf?download=1"&gt;(download presentation)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;*(Previous title submitted: From Data Acquisition to Latent Semantic Analysis: Developing VERITRACE&amp;#39;s Computational Approach to Tracing the Influence of Ancient Wisdom in Early Modern Natural Philosophy)&lt;/p&gt;</description>
                <description descriptionType="Other">The KI2024 workshop – Humanities-Centred AI (CHAI 2024) 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. The organization was mainly conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.</description>
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