| Hhu at semeval-2017 task 5: Fine-grained sentiment analysis on financial data using machine learning methods T Cabanski, J Romberg, S Conrad Proceedings of the 11th international workshop on semantic evaluation …, 2017 | 12 | 2017 |
| Automated topic categorisation of citizens’ contributions: Reducing manual labelling efforts through active learning J Romberg, T Escher International Conference on Electronic Government, 369-385, 2022 | 10 | 2022 |
| HHU at SemEval-2019 Task 6: Context does matter-tackling offensive language identification and categorization with ELMo A Oberstrass, J Romberg, A Stoll, S Conrad Proceedings of the 13th international workshop on semantic evaluation, 628-634, 2019 | 9 | 2019 |
| Is your perspective also my perspective? enriching prediction with subjectivity J Romberg Proceedings of the 9th Workshop on Argument Mining, 115-125, 2022 | 5 | 2022 |
| Analyse der Anforderungen an eine Software zur (teil-) automatisierten Unterstützung bei der Auswertung von Beteiligungsverfahren J Romberg, T Escher Working Paper 1, CIMT Research Group, Institute for Social Sciences …, 2020 | 5 | 2020 |
| Citizen Involvement in Urban Planning-How Can Municipalities Be Supported in Evaluating Public Participation Processes for Mobility Transitions? J Romberg, S Conrad Proceedings of the 8th Workshop on Argument Mining, 89-99, 2021 | 3 | 2021 |
| Annotating patient information needs in online diabetes forums J Romberg, J Dyczmons, SO Borgmann, J Sommer, M Vomhof, C Brunoni, ... Proceedings of the Fifth Social Media Mining for Health Applications …, 2020 | 3 | 2020 |
| Making Sense of Citizens’ Input through Artificial Intelligence: A Review of Methods for Computational Text Analysis to Support the Evaluation of Contributions in Public … J Romberg, T Escher Digital Government: Research and Practice 5 (1), 1-30, 2024 | 2 | 2024 |
| A Corpus of German Citizen Contributions in Mobility Planning: Supporting Evaluation Through Multidimensional Classification J Romberg, L Mark, T Escher | 2 | 2022 |
| Proceedings of the 10th Workshop on Argument Mining M Alshomary, CC Chen, S Muresan, J Park, J Romberg Proceedings of the 10th Workshop on Argument Mining, 2023 | 1 | 2023 |
| GDWDS: First Insights from a Student-based Key Phrase Annotation Process of Medical Information Needs on a Novel German Diabetes Web Data Set. J Romberg Grundlagen von Datenbanken, 89-94, 2018 | 1 | 2018 |
| Comparing Relevance Feedback Techniques on German News Articles J Romberg Gesellschaft für Informatik eV, 2017 | 1 | 2017 |
| A General Framework for Multimodal Argument Persuasiveness Classification of Tweets M Soltani, J Romberg Proceedings of the 10th Workshop on Argument Mining, 148-156, 2023 | | 2023 |
| Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives! P Heinisch, M Orlikowski, J Romberg, P Cimiano arXiv preprint arXiv:2311.03153, 2023 | | 2023 |
| Mind the User! Measures to More Accurately Evaluate the Practical Value of Active Learning Strategies J Romberg Proceedings of the 14th International Conference on Recent Advances in …, 2023 | | 2023 |
| Correction to: Automated Topic Categorisation of Citizens’ Contributions: Reducing Manual Labelling Efforts Through Active Learning J Romberg, T Escher International Conference on Electronic Government, C1-C1, 2022 | | 2022 |
| Actor Identification and Relevance Filtering in Movie J Romberg | | 2016 |
| Machine-assisted Text Classification of Public Participation Contributions J Romberg | | |
