Institute of
Creative\Media/Technologies

Team

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.
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.
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., 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