Schmid, Ute; Leidner, Jochen L.; Wolter, Diedrich; Kohlhase, Michael (2025)
Proceedings of the Second Work shop on Artificial Intelligence for Artificial Intelligence Education 45.
DOI: 10.20378/irb-107661
Menzner, Tim; Leidner, Jochen L. (2025)
Advances in Information Retrieval: Proceedings of the 47th European Conference on Information Retrieval (ECIR 2025), Lucca, Italy, April 6–10, 2025 IV, 105-110.
DOI: 10.1007/978-3-031-88720-8_18
The increasing consumption of news online in the 21st century coincided with increased publication of disinformation, biased reporting, hate speech and other unwanted Web content.
We describe BiasScanner, an application that aims to strengthen democracy by supporting news consumers with scrutinizing news articles they are reading online. BiasScanner contains a server-side pre-trained large language model to identify biased sentences of news articles and a front-end Web browser plug-in. BiasScanner can identify and classify more than two dozen types of media bias at the sentence level, making it the most fine-grained model and only automatic application deployed as a browser plug-in. One special feature is the high-quality, LLM-generated explanations of the model’s decisions.
While prior research has addressed news bias detection, we are not aware of any automatic work that resulted in a deployed browser plug-in (c.f. also biasscanner.org for a Web demo).
Leidner, Jochen L. (2025)
Third International Workshop on Geographic Information Extraction from Texts (GeoExt) to be held at the 47th European Conference on Information Retrieval (ECIR 2025) in Lucca, Italy, April 10th, 2025.
The textual realm and the geographic/spatial realm intersect when we use human language to talk about geographic space. Various terms have been used to talk about this intersection (“geoparsing”, “georeferencing”, “toponym resolution”, “spatial grounding” etc.) and related applications such as geographic information retrieval. In this keynote, I will review some things that the community has accomplished since 2003, what occupies people’s minds at the moment, and I will raise a few research questions that would be interesting to answer, or that would unlock the potential for new kinds of applications. I conclude with some personal conjectures about how one version of the future might look like.
Deaky, Fajsz (2025)
Coburger Tageblatt, 3.
Leidner, Jochen L.; Reiche, Michael (2024)
Development Methodologies for Big Data Analytics Systems.
A number of machine learning process models (SEMMA, KDD, CRISP-DM, CRISP-ML, Data-to-Value1 etc.) have been recently proposed to facilitate the development of machine learning models in their organizational context. While the existing proposals vary with respect to complexity and suitability for particular tasks, it would be desirable to have software tools that embody or support these process models, and make it easier for project teams to capture, share among team members and stakeholders and preserve the relevant project information pertaining to the various process stages. In particular, recorded past statistics may be applied to predict the duration of stages or the overall project effort.
Presently, to the best of our knowledge, no requirement analysis exists that stipulates the detailed needs. To this end, we present a first collection and analysis of a requirements document for the software tooling for machine learning process models. We describe the functional and non-functional requirements of a Computer-Aided Machine Learning Modeling (CAMLM) tool, the soft-computing world’s counter-part to a CASE (Computer Aided Software Engineering) tool.
Various software cover sub-areas such as team management and communication management (Confluence, Jira, Slack, Zoom...) or project management (CRISP-DM, Scrum, Kanban-Board...) or data and information management (model management [Weber, Christian; Hirmer, Pascal; Reimann, Peter; Schwarz, Holger (2019): A New Process Model for the Comprehensive Management of Machine Learning Models. In: Proceedings of the 21st International Conference on Enterprise Information Systems: SCITEPRESS - Science and Technology Publications.] ). What is not available to our knowledge, however, is software that covers the entire sub-areas and the entire life cycle of machine learning projects in detail.
Demmler, Uwe (2024)
Steuerrecht aktuell 2024 (2), 25-38.
Demmler, Uwe (2024)
Steuerrecht aktuell 2024 (2), 36-40.
Demmler, Uwe (2024)
Steuerrecht aktuell 2024 (2), 43-47.
Demmler, Uwe (2024)
Steuerrecht aktuell 2024 (2), 51-54.
Demmler, Uwe (2024)
Steuerrecht aktuell 2024 (2), 50-51.
Tominski, Katrin (2024)
Demmler, Uwe (2024)
Steuerrecht der betrieblichen Altersversorgung mit arbeitsrechtlicher Grundlegung Lfg. 53 / Juni 2024 / Band II / Teil 5, 71-168.
Kohlhase, Michael; Leidner, Jochen L.; Schmid, Ute; Wolter, Diedrich (2024)
held at KI 2024: 47. Deutsche Jahrestagung für Künstliche Intelligenz, Würzburg, 23.09. - 27.09.2024.
Blümlein, Markus; Leidner, Jochen L. (2024)
Poster, presented at Networking for Research – German Universities of Applied Sciences and Researchers from Scotland (UDIF-HAW), DFG (German Research Foundation) and SULSA (Scottish Universities Life Sciences Alliances), online, 2024-04-24.
Leidner, Jochen L.; Jung, Luca (2024)
Proceedings of the 21st International Symposium on Web and Wireless Geographical Information Systems (W2GIS 2024), June, 17-18, 2024, Yverdon-les-Bains, Switzerland
, 95-104.
DOI: 10.1007/978-3-031-60796-7_7
Menzner, T.; Leidner, Jochen L. (2024)
Proceedings of the 29th European Conference on Information Retrieval (ECIR 2024), Glasgow, Scotland, UK, March 24-28, 2024 IV, 270-284.
DOI: 10.1007/978-3-031-56066-8_22
Leidner, Jochen L. (2024)
Invited Keynote, Seventh International Workshop on Narrative Extraction from Texts (Text2Story 2024) held in conjunction with the 46th European Conference on Information Retrieval (ECIR 2024), Glasgow, Scotland, UK, 23 March 2024.
Rüdel, Thomas; Leidner, Jochen L. (2023)
Technical Report, ArXiv Pre-Print Server.
DOI: 10.48550/arXiv.2311.11701
Nowaczyk, Slawomir; Biecek, Przemyslaw; Chung, Neo Christopher; Vallati, Mauro; Skruch, Pawel; Jaworek-Korjakowska, Joanna; Parkinson, Simon; Nikitas, Alexandros; Atzmüller, Martin; Tomás, Kliegr; Schmid, Ute; Bobek, Szymon; Lavrac, Nada; Peeters, Marieke; van Dierendonck, Roland; Robben, Saskia; Mercier-Laurent, Eunika; Kayakutlu, Gülgün; Owoc, Mieczyslaw Lech; Mason, Karl; Wahid, Abdul; Bruno, Pierangela; Calimeri, Francesco; Cauteruccio, Francesco; Terracina, Giorgio; Wolter, Diedrich; Leidner, Jochen L.; Kohlhase, Michael; Dimitrova, Vania (2023)
Nowaczyk, Slawomir; Biecek, Przemyslaw; Chung, Neo Christopher; Vallati, Mauro...
Communications in Computer and Information Science (CCIS) 1947.
Leidner, Jochen L.; Reiche, Michael (2023)
Workshop on AI for AI Learning Held at ECAI 2023, Kakow, Poland, September 30, 2023.
Hochschule Coburg