| 2025 | KI | Numbers Don't Lie: Hybrid Extraction and Validation of Quantitative Statements in Arguments with Semi-structured Information. | Mirko Lenz, Lorik Dumani, Ralf Schenkel, Ralph Bergmann |
| 2024 | NAACL | "Tell me who you are and I tell you how you argue": Predicting Stances and Arguments for Stakeholder Groups. | Philipp Heinisch, Lorik Dumani, Philipp Cimiano, Ralf Schenkel |
| 2023 | CIKM | AQUAPLANE: The Argument Quality Explainer App. | Sebastian Britner, Lorik Dumani, Ralf Schenkel |
| 2023 | ICCBR | Trust me, I am an Expert: Predicting the Credibility of Experts for Statements. | Markus Nilles, Lorik Dumani, Bjrn Metzler, Ralf Schenkel |
| 2023 | ICCBR | Argument-Mining from Podcasts Using ChatGPT. | Mircea-Luchian Pojoni, Lorik Dumani, Ralf Schenkel |
| 2022 | KI | Model Transformation in Description Logics. | Mirko Lenz, Lorik Dumani, Premtim Sahitaj |
| 2021 | CIKM | Fine and Coarse Granular Argument Classification before Clustering. | Lorik Dumani, Tobias Wiesenfeldt, Ralf Schenkel |
| 2021 | SIGIR | QuARk: A GUI for Quality-Aware Ranking of Arguments. | Markus Nilles, Lorik Dumani, Ralf Schenkel |
| 2020 | CIKM | Quality-Aware Ranking of Arguments. | Lorik Dumani, Ralf Schenkel |
| 2020 | COMMA | Towards an Argument Mining Pipeline Transforming Texts to Argument Graphs. | Mirko Lenz, Premtim Sahitaj, Sean Kallenberg, Christopher Coors, Lorik Dumani, Ralf Schenkel, Ralph Bergmann |
| 2020 | ECIR | A Framework for Argument Retrieval - Ranking Argument Clusters by Frequency and Specificity. | Lorik Dumani, Patrick J. Neumann, Ralf Schenkel |
| 2019 | SIGIR | A Systematic Comparison of Methods for Finding Good Premises for Claims. | Lorik Dumani, Ralf Schenkel |
| 2018 | MSR | SOTorrent: reconstructing and analyzing the evolution of stack overflow posts. | Sebastian Baltes, Lorik Dumani, Christoph Treude, Stephan Diehl |