| 2025 | EMNLP | Argument Summarization and its Evaluation in the Era of Large Language Models. | Moritz Altemeyer, Steffen Eger, Johannes Daxenberger, Yanran Chen, Tim Altendorf, Philipp Cimiano, Benjamin Schiller |
| 2024 | EMNLP | Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets. | Benjamin Schiller, Johannes Daxenberger, Andreas Waldis, Iryna Gurevych |
| 2021 | NAACL | Aspect-Controlled Neural Argument Generation. | Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych |
| 2021 | NAACL | Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks. | Nandan Thakur, Nils Reimers, Johannes Daxenberger, Iryna Gurevych |
| 2021 | SIGdial | From Argument Search to Argumentative Dialogue: A Topic-independent Approach to Argument Acquisition for Dialogue Systems. | Niklas Rach, Carolin Schindler, Isabel Feustel, Johannes Daxenberger, Wolfgang Minker, Stefan Ultes |
| 2020 | AAAI | Fine-Grained Argument Unit Recognition and Classification. | Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schtze, Iryna Gurevych |
| 2020 | CoNLL | How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation. | Steffen Eger, Johannes Daxenberger, Iryna Gurevych |
| 2020 | IUI | The Influence of Input Data Complexity on Crowdsourcing Quality. | Christopher Tauchmann, Johannes Daxenberger, Margot Mieskes |
| 2020 | LREC | Evaluation of Argument Search Approaches in the Context of Argumentative Dialogue Systems. | Niklas Rach, Yuki Matsuda, Johannes Daxenberger, Stefan Ultes, Keiichi Yasumoto, Wolfgang Minker |
| 2019 | ACL | Classification and Clustering of Arguments with Contextualized Word Embeddings. | Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, Iryna Gurevych |
| 2018 | COLING | Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! | Steffen Eger, Johannes Daxenberger, Christian Stab, Iryna Gurevych |
| 2018 | NAACL | Multi-Task Learning for Argumentation Mining in Low-Resource Settings. | Claudia Schulz, Steffen Eger, Johannes Daxenberger, Tobias Kahse, Iryna Gurevych |
| 2018 | NAACL | ArgumenText: Searching for Arguments in Heterogeneous Sources. | Christian Stab, Johannes Daxenberger, Chris Stahlhut, Tristan Miller, Benjamin Schiller, Christopher Tauchmann, Steffen Eger, Iryna Gurevych |
| 2017 | ACL | Neural End-to-End Learning for Computational Argumentation Mining. | Steffen Eger, Johannes Daxenberger, Iryna Gurevych |
| 2017 | CSCW | On the "How" and "Why" of Emergent Role Behaviors in Wikipedia. | Ofer Arazy, Hila Lifshitz-Assaf, Oded Nov, Johannes Daxenberger, Martina Balestra, Coye Cheshire |
| 2017 | EMNLP | What is the Essence of a Claim? Cross-Domain Claim Identification. | Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych |
| 2017 | WWW | Is Interaction More Important than Individual Performance?: A Study of Motifs in Wikia. | Thomas Arnold, Johannes Daxenberger, Iryna Gurevych, Karsten Weihe |
| 2014 | ACL | DKPro TC: A Java-based Framework for Supervised Learning Experiments on Textual Data. | Johannes Daxenberger, Oliver Ferschke, Iryna Gurevych, Torsten Zesch |
| 2014 | ACL | Automatically Detecting Corresponding Edit-Turn-Pairs in Wikipedia. | Johannes Daxenberger, Iryna Gurevych |
| 2013 | EMNLP | Automatically Classifying Edit Categories in Wikipedia Revisions. | Johannes Daxenberger, Iryna Gurevych |
| 2012 | COLING | A Corpus-Based Study of Edit Categories in Featured and Non-Featured Wikipedia Articles. | Johannes Daxenberger, Iryna Gurevych |