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.
Aim & Scope
Inferring ancient cultural traditions from written artefacts, AI offers many opportunities to assist humanities scholars in their work. Editorial projects and computer-aided evaluations, such as text and data mining or linguistic analyses, require the collecting, storing, and linking of data in order to quickly identify core information of the written artefacts under investigation. Time-consuming procedures like the creation of dictionaries or the use of bibliographies can be facilitated, abridged and designed more efficiently through the automatic linking of data, which enables to create extensive data sets and to generate additional information. In this way, AI supports scholars with time-saving methods for their research, hence leaving more room for core tasks and questions. To ensure that the use of AI methods in the humanities remains not only abstract and theoretic, the applicability of algorithms in respective research needs to be specifically examined and intentionally developed with a clear focus on humanities research.
Agenda
Tuesday, September 28, 2021 - 2:00 p.m. – 5:30 p.m.
Workshop 5 at KI2021, virtual in "KI Room Allen Newell"
20 minutes presentation plus 5 minutes discussion
Proceedings are available at http://ceur-ws.org/Vol-3093
Abstracts and Presentations
|
Time |
Title |
|
2:00 p.m. – 2:15 p.m. |
Welcome |
|
2:15 p.m. – 2:40 p.m. |
Hagen Peukert Phonemic Text Transcription Enhances Automated Morpheme Detection: the Importance of Knowing Which Information is Used from the Input |
|
2:40 p.m. – 3:05 p.m. |
Samantha Kent, Hans-Christian Schmitz Discourse Process Mining |
|
3:05 p.m. – 3:30 p.m. |
Theresa Krumbiegel, Albert Pritzkau, Hans-Christian Schmitz Distant Reading and Event Extraction |
|
3:30 p.m. – 4:00 p.m. |
Break |
|
4:00 p.m. – 4:25 p.m. |
Felix Kuhr, Tanya Braun Context-aware Document Annotation |
|
4:25 p.m. – 4:50 p.m. |
Simon Schiff, Ralf Möller On Human-Aware Information Seeking |
|
4:50 p.m. – 5:15 p.m. |
Ralf Möller Humanities-Centered AI: From Machine Learning to Machine Training |
|
5:15 p.m. – 5:30 p.m. |
Final discussion |
Call for paper
This workshop addresses AI methods from the perspective of humanities scholars. We encourage submissions that report on work in progress or present a synthesis of emerging research trends. Topics of interest include, but are not limited to:
- AI for the interdisciplinary work of humanities scholars
- AI for linking data from the humanities scholars
- Digitized written artefact representation and description formats
- AI methods for written artefact analysis
- OCR for humanities scholars
- Human-aware agents supporting tasks of humanities scholars
Submission: Submitted papers must
- be max. 3 pages in length;
- contain your research question(s), the methodological approach and your findings;
- be written in English;
- contain author names, affiliations, and email addresses;
- be formatted according to the Springer LNCS template
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines; - be submitted in PDF.
All submissions must be entered into the reviewing system:
https://www.conferences.uni-hamburg.de/e/fdm-chai
The proceedings will be published.
Workshop organizers and program committee
- Dr Sylvia Melzer
- Dr Stefan Thiemann
- Prof Dr Jost Gippert
Important dates
- Deadline for Submission (extended): July 30, 2021
- Notification of Authors (extended): August 27, 2021
- Workshop date: September 28, 2021 - 2:00 p.m. – 5:30 p.m.