Institute of
Creative\Media/Technologies

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Dipl.-Ing. Adrian Jaques Böck BSc

  • Junior Researcher
    Media Computing Research Group
    Institute of Creative\Media/Technologies
  • Department of Media and Digital Technologies

Departments

  • Media and Digital Technologies

Projects

QuickSpeech - Automatic Question and Answer Generation

Automatic generation of questions and answers for an app that companies can use to train their staff members.

CounterSpeech - Young People Against Online Hate

Computer-assisted Strategies for Facilitating Citizen-generated Counter Speech in Social Media

Publications

Download Bibtex for all results
Böck, J., Schütz, M., Liakhovets, D., Satriani, N. Q., Babic, A., Slijepčević, D., Zeppelzauer, M., & Schindler, A. (2023). AIT_FHSTP at EXIST 2023 Benchmark: Sexism Detection by Transfer Learning, Sentiment and Toxicity Embeddings and Hand-Crafted Features. CEUR Workshop Proceedings, 13.
Liakhovets, D., Schütz, M., Böck, J., Andresel, M., Kirchknopf, A., Babic, A., Slijepčević, D., Lampert, J., Schindler, A., & Zeppelzauer, M. (2022). Transfer Learning for Automatic Sexism Detection with Multilingual Transformer Models. IberLEF 2022, St. Poelten (Austria).
Schütz, M., Böck, J., Andresel, B., Kirchknopf, A., Liakhovets, D., Slijepčević, D., & Schindler, A. (2022). AIT_FHSTP at CheckThat! 2022: Cross-Lingual Fake News Detection with a Large Pre-Trained Transformer. CLEF2022.
Rind, A., Böck, J., Boucher, M., Grassinger, F., Kirchknopf, A., Stoiber, C., Stumpe, E., & Zauchinger, M. (2022). Wie können wir Daten erlebbar machen? [Demo & Poster]. Lange Nacht der Forschung 2022, St. Pölten.
Schütz, M., Boeck, J., Liakhovets, D., Slijepčević, S., Kirchknopf, A., Hecht, M., Bogensperger, J., Schlarb, S., Schindler, A., & Zeppelzauer, M. (2021). Automatic Sexism Detection with Multilingual Transformer Models. CEUR Workshop Proceedings, 2943, 10. http://ceur-ws.org/Vol-2943/exist_paper1.pdf
Boeck, J., Liakhovets, D., Schütz, M., Kirchknopf, A., Slijepcevic, D., Zeppelzauer, M., & Schindler, A. (2021). AIT_FHSTP at GermEval 2021: Automatic Fact Claiming Detection with Multilingual Transformer Models. Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments, 76–82. https://aclanthology.org/2021.germeval-1.11.pdf