@inproceedings{Abrami:et:al:2025:b,
author = {Abrami, Giuseppe and Baumartz, Daniel and Mehler, Alexander},
title = {DUUI: A Toolbox for the Construction of a new Kind of Natural
Language Processing},
year = {2025},
booktitle = {Proceedings of the DHd 2025: Under Construction. Geisteswissenschaften
und Data Humanities},
numpages = {3},
location = {Bielefeld, Germany},
series = {DHd 2025},
publisher = {Zenodo},
keywords = {duui},
pages = {446--448},
doi = {10.5281/zenodo.14943128},
url = {https://doi.org/10.5281/zenodo.14943128},
poster = {https://zenodo.org/records/14944575}
}
The Bundestags-Mine has been nominated for the Innovation Prize of the Goethe-University!
A final pitch will take place on December 10th, 2024 at 6 PM in the Festsaal Casino at Campus Westend. All the finalists will compete for the final ranking and the corresponding prize money, which is sponsored by the Sparkasse Foundation. If you’d like to join, tickets are freely avaiable on eventbrite.
The Bundestags-Mine leverages artificial intelligence to analyze various data formats from the German Bundestag, including plenary proceedings, polls, agenda items, and more. The processed data is curated within the platform and made available for download. All data is freely accessible and can be obtained directly from the Bundestags-Mine website. This approach enables personalized access to the vast amounts of data produced daily by the German Bundestag, making politics more accessible. Additionally, it utilizes state-of-the-art AI techniques for advanced analysis, including sentiment analysis, topic modeling, summarization, and more, provided by the tools that were developed within the Text Technology Lab.
The Text Technology Lab actively encourages students to go beyond expectations, supporting them in publishing their first scientific papers, bachelor’s or master’s theses, and, as demonstrated in this example, achieving distinguished awards. The lab also provides guidance and infrastructure for large-scale research projects when necessary.
So if you are interested in research projects, bachelor’s or master’s theses that align with our research, or have other inquiries, feel free to contact us.
@article{Boenisch:et:al:2024:b,
author = {B\"{o}nisch, Kevin and Mehler, Alexander and Babbili, Shaduan
and Heinrich, Yannick and Stephan, Philipp and Abrami, Giuseppe},
abstract = {We present Viki LibraRy, a dynamically built library in virtual
reality (VR) designed to visualize hypertext systems, with an
emphasis on collaborative interaction and spatial immersion. Viki
LibraRy goes beyond traditional methods of text distribution by
providing a platform where users can share, process, and engage
with textual information. It operates at the interface of VR,
collaborative learning and spatial data processing to make reading
tangible and memorable in a spatially mediated way. The article
describes the building blocks of Viki LibraRy, its underlying
architecture, and several use cases. It evaluates Viki LibraRy
in comparison to a conventional web interface for text retrieval
and reading. The article shows that Viki LibraRy provides users
with spatial references for structuring their recall, so that
they can better remember consulted texts and their meta-information
(e.g. in terms of subject areas and content categories)},
title = {{Viki LibraRy: Collaborative Hypertext Browsing and Navigation
in Virtual Reality}},
journal = {New Review of Hypermedia and Multimedia},
volume = {0},
number = {0},
pages = {1--31},
year = {2024},
publisher = {Taylor \& Francis},
doi = {10.1080/13614568.2024.2383581},
url = {https://doi.org/10.1080/13614568.2024.2383581},
eprint = {https://doi.org/10.1080/13614568.2024.2383581}
}
Geo-spatial Hypertext in Virtual Reality: Mapping and Navigating Global News Event Spaces
@article{Schrottenbacher:et:al:2024,
author = {Schrottenbacher, Patrick and Mehler, Alexander and Berg, Theresa
and Hustedt, Jasper and Gagel, Julian and Lüttig, Timo and Abrami, Giuseppe},
title = {Geo-spatial hypertext in virtual reality: mapping and navigating
global news event spaces},
journal = {New Review of Hypermedia and Multimedia},
volume = {0},
number = {0},
pages = {1--30},
year = {2024},
publisher = {Taylor \& Francis},
doi = {10.1080/13614568.2024.2383601},
url = {https://doi.org/10.1080/13614568.2024.2383601},
eprint = {https://doi.org/10.1080/13614568.2024.2383601},
abstract = {Every day, a myriad of events take place that are documented and
shared online through news articles from a variety of sources.
As a result, as users navigate the Web, the volume of data can
lead to information overload, making it difficult to find specific
details about an event. We present News in Time and Space (NiTS)
to address this issue: NiTS is a fully immersive system integrated
into Va.Si.Li-Lab that organises textual information in a geospatial
hypertext system in virtual reality. With NiTS, users can visualise,
filter and interact with information currently based on GDELT
on a virtual globe providing document networks to analyse global
events and trends. The article describes NiTS, its event semantics
and architecture. It evaluates NiTS in comparison to a classic
search engine website, extended by NiTSs information filtering
capabilities to make it comparable. Our comparison with this website
technology, which is directly linked to the user's usage habits,
shows that NiTS enables comparable information exploration even
if the users have little or no experience with VR. That is, we
observe an equivalent search result behaviour, but with the advantage
that VR allows users to get their results with a higher level
of usability without distracting them from their tasks. Through
its integration with Va.Si.Li-Lab, a simulation-based learning
environment, NiTS can be used in simulations of learning processes
aimed at studying critical online reasoning, where Va.Si.Li-Lab
guarantees that this can be done in relation to individual or
groups of learners.}
}
@inproceedings{Luecking:Mehler:Henlein:2024-classifier,
title = {The Linguistic Interpretation of Non-emblematic Gestures Must
be agreed in Dialogue: Combining Perceptual Classifiers and Grounding/Clarification
Mechanisms},
author = {Lücking, Andy and Mehler, Alexander and Henlein, Alexander},
year = {2024},
booktitle = {Proceedings of the 28th Workshop on The Semantics and Pragmatics of Dialogue},
series = {SemDial'24 -- TrentoLogue},
location = {Università di Trento, Palazzo Piomarta, Rovereto},
url = {https://www.semdial.org/anthology/papers/Z/Z24/Z24-4031/},
pdf = {http://semdial.org/anthology/Z24-Lucking_semdial_0031.pdf}
}
@inproceedings{Ginzburg:Eliasmith:Luecking:2024-swann,
title = {Swann's name: {Towards} a Dialogical Brain Semantics},
author = {Ginzburg, Jonathan and Eliasmith, Chris and Lücking, Andy},
year = {2024},
booktitle = {Proceedings of the 28th Workshop on The Semantics and Pragmatics of Dialogue},
series = {SemDial'24 -- TrentoLogue},
location = {Università di Trento, Palazzo Piomarta, Rovereto},
url = {https://www.semdial.org/anthology/papers/Z/Z24/Z24-3007/},
pdf = {http://semdial.org/anthology/Z24-Ginzburg_semdial_0007.pdf}
}