Learning to Flip the Bias of News Headlines
W.-F. Chen, H. Wachsmuth, K. Al Khatib, B. Stein, in: Proceedings of the 11th International Conference on Natural Language Generation, Association for Computational Linguistics, 2018, pp. 79–88.

Unit Segmentation of Argumentative Texts
Y. Ajjour, W.-F. Chen, J. Kiesel, H. Wachsmuth, B. Stein, in: Proceedings of the 4th Workshop on Argument Mining, 2017, pp. 118–128.

Patterns of Argumentation Strategies across Topics
K. Al Khatib, H. Wachsmuth, M. Hagen, B. Stein, in: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017, pp. 1362–1368.

WAT-SL: A Customizable Web Annotation Tool for Segment Labeling
J. Kiesel, H. Wachsmuth, K. Al Khatib, B. Stein, in: Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017, pp. 13–16.

"Page Rank'' for Argument Relevance
H. Wachsmuth, B. Stein, Y. Ajjour, in: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, 2017, pp. 1117–1127.

Building an Argument Search Engine for the Web
H. Wachsmuth, M. Potthast, K. Al-Khatib, Y. Ajjour, J. Puschmann, J. Qu, J. Dorsch, V. Morari, J. Bevendorff, B. Stein, in: Proceedings of the 4th Workshop on Argument Mining, 2017, pp. 49–59.

The Impact of Modeling Overall Argumentation with Tree Kernels
H. Wachsmuth, G. Da San Martino, D. Kiesel, B. Stein, in: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017, pp. 2369–2379.

Computational Argumentation Quality Assessment in Natural Language
H. Wachsmuth, N. Naderi, Y. Hou, Y. Bilu, V. Prabhakaran, T.A. Thijm, G. Hirst, B. Stein, in: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, 2017, pp. 176–187.

A Universal Model for Discourse-Level Argumentation Analysis
H. Wachsmuth, B. Stein, Special Section of the ACM Transactions on Internet Technology: Argumentation in Social Media (2017) 1–24.

Argumentation Quality Assessment: Theory vs. Practice
H. Wachsmuth, N. Naderi, I. Habernal, Y. Hou, G. Hirst, I. Gurevych, B. Stein, in: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2017, pp. 250–255.

A News Editorial Corpus for Mining Argumentation Strategies
K. Al Khatib, H. Wachsmuth, J. Kiesel, M. Hagen, B. Stein, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016, pp. 3433–3443.

Cross-Domain Mining of Argumentative Text through Distant Supervision
K. Al-Khatib, H. Wachsmuth, M. Hagen, J. Köhler, B. Stein, in: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016, pp. 1395–1404.

Using Argument Mining to Assess the Argumentation Quality of Essays
H. Wachsmuth, K. Al Khatib, B. Stein, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016, pp. 1680–1691.

Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse
H. Wachsmuth, in: Ausgezeichnete Informatikdissertationen 2015, 2016, pp. 329–338.

Sentiment Flow - A General Model of Web Review Argumentation
H. Wachsmuth, J. Kiesel, B. Stein, in: J. Tsujii, J. Hajic (Eds.), Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015, pp. 601–611.

Text Analysis Pipelines - Towards Ad-hoc Large-scale Text Mining
H. Wachsmuth, Text Analysis Pipelines - Towards Ad-Hoc Large-Scale Text Mining, 2015.

Pipelines for Ad-hoc Large-scale Text Mining
H. Wachsmuth, Pipelines for Ad-Hoc Large-Scale Text Mining, 2015.

A Review Corpus for Argumentation Analysis
H. Wachsmuth, M. Trenkmann, B. Stein, G. Engels, T. Palakarska, in: Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics, 2014, pp. 115–127.

PBlaman: performance blame analysis based on Palladio contracts
F. Brüseke, H. Wachsmuth, G. Engels, S. Becker, in: Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment, 2014, pp. 1975–2004.

Modeling Review Argumentation for Robust Sentiment Analysis
H. Wachsmuth, M. Trenkmann, B. Stein, G. Engels, in: Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, 2014, pp. 553–564.