Presentation Open Access
Humanities-Centred AI (CHAI)
Sylvia Melzer;
Stefan Thiemann;
Jost Gippert
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)
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.
Files
(9.8 MB)
| Name | Size | |
|---|---|---|
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00_KI2021-W5-Agenda.pdf
md5:962bb44010ebae4f78c79d6dbfc94e94 |
145.4 kB | Download |
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01_KI2021_W5-CHAI_ALL.pdf
md5:88cf302432e663af1307b41834d5ca90 |
5.1 MB | Download |
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KI2021_CHAI_submission1.zip
md5:8ee87e44860dce3284e983bea9e60c34 |
1.1 MB | Download |
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KI2021_CHAI_submission2.zip
md5:5566129ead99d97dab3f067112cd6c6d |
106.2 kB | Download |
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KI2021_CHAI_submission3.zip
md5:57132a58dc3256de8f985feb8ec016e5 |
105.8 kB | Download |
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KI2021_CHAI_submission4.zip
md5:c3fc2ca10ce28bbd0e183523e017ff1d |
1.8 MB | Download |
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KI2021_CHAI_submission5.zip
md5:72ea38767dde0d1556254073d8558864 |
626.7 kB | Download |
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KI2021_CHAI_submission6.zip
md5:1e78e595dc41ad46e37e020faa03617f |
790.2 kB | Download |
- Publication date:
- September 28, 2021
- DOI:
-
- Keyword(s):
- UWA CSMC KI2021 AI DL01 Data Linking CHAI Humanities RFF
- Meeting:
- 44th German Conference on Artificial Intelligence (KI2021), Virtual Conference, September 27 – Oct 1, 2021 (Session Humanities-Centred AI (CHAI) , Part W5)
- Related identifiers:
- Reviewed by:
https://www.conferences.uni-hamburg.de/event/204/ - Supplementary material:
https://www.csmc.uni-hamburg.de/ki2021-chai, http://ceur-ws.org/Vol-3093/ - Communities:
- License (for files):
- Creative Commons Attribution 4.0 International