The many faces of GESIS
Vita
I am a postdoc in the Data Science Methods team in the Computational Social Science department at GESIS, where I am researching the modeling of subjective phenomena in argumentation.Publications
Journal article
Romberg, Julia, and Tobias Escher. 2024. "Making Sense of Citizens’ Input through Artificial Intelligence: A Review of Methods for Computational Text Analysis to Support the Evaluation of Contributions in Public Participation." Digital Government: Research and Practice online first (Volume 5, Issue 1): Article No. 3, pp. 1-30. doi: https://doi.org/10.1145/3603254.
Chapter in an edited book
Maurer, Maximilian, Julia Romberg, Myrthe Reuver, Negash Weldekiros, and Gabriella Lapesa. 2024. "GESIS-DSM at PerpectiveArg2024: A Matter of Style? Socio-Cultural Differences in Argumentation." In Proceedings of the 11th Workshop on Argument Mining (ArgMining 2024), 169–181. https://aclanthology.org/2024.argmining-1.18/.
Mark, Laura, Julia Romberg, and Tobias Escher. 2024. "KI zur Auswertung von Beteiligung? Das Potenzial von Sprachmodellen zur Erkennung von Verkehrsmitteln in Beteiligungsbeiträgen." In Internationales Verkehrswesen, 76 (1), 12-16. doi: https://doi.org/10.24053/IV-2024-0003.
Romberg, Julia. 2024. "Supporting political decisions through AI-assisted evaluation of citizen participation processes." In Quo Vadis Artificial Intelligence in Nuclear Waste Management? A Collection of Transdisciplinary Perspectives, edited by Bundesamt für die Sicherheit der nuklearen Entsorgung (BASE), 14-15. urn: urn:nbn:de:0221-2024021441667.
Soltani, Mohammad, and Julia Romberg. 2023. "A General Framework for Multimodal Argument Persuasiveness Classification of Tweets." In Proceedings of the 10th Workshop on Argument Mining, edited by Milad Alshomary, Chung-Chi Chen, Smaranda Muresan, Joonsuk Park, and Julia Romberg, 148–156. Association for Computational Linguistics (ACL).
Heinisch, Philipp, Matthias Orlikowski, Julia Romberg, and Philipp Cimiano. 2023. "Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It’s Best to Relate Perspectives!" In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 11138–11154. Association for Computational Linguistics (ACL).
Romberg, Julia. 2023. "Mind the User! Measures to More Accurately Evaluate the Practical Value of Active Learning Strategies." In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 996-1006. INCOMA Ltd..
Romberg, Julia. 2023. "Unterstützung politischer Entscheidungen durch KI-gestützte Auswertung von Bürger:innenbeteiligungsverfahren." In Quo Vadis Künstliche Intelligenz in der nuklearen Entsorgung? Eine Sammlung transdisziplinärer Perspektiven, edited by Bundesamt für die Sicherheit der nuklearen Entsorgung (BASE), 14-16. urn: urn:nbn:de:0221-2024021441650.
Editorship
Alshomary, Milad, Chung-Chi Chen, Smaranda Muresan, Joonsuk Park, and Julia Romberg, ed. 2023. Proceedings of the 10th Workshop on Argument Mining. Association for Computational Linguistics (ACL).
Articles or interviews in non-scientific media
Romberg, Julia. 2023. "Ressourcen sparen durch KI: Wie Künstliche Intelligenz die Auswertung von Bürgerdebatten unterstützen kann." Online-Kongress zur digitalen Demokratie, 2023-11-28. http://www.d3kongress.de/.