Chen, Mei-Hua, Garima Mudgal, Wei-Fan Chen, and Henning Wachsmuth. “Investigating the Argumentation Structures of EFL Learners from Diverse Language Backgrounds.” In EUROCALL, 2022.

Skitalinskaya, Gabriella, Jonas Klaff, and Henning Wachsmuth. “Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale.” In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, 1718–29, 2021.

Bondarenko, Alexander, Lukas Gienapp, Maik Fröbe, Meriem Beloucif, Yamen Ajjour, Alexander Panchenko, Chris Biemann, et al. “Overview of Touché 2021: Argument Retrieval.” In Proceedings of the 43rd Annual European Conference on Information Retrieval Research, 384–95, 2021.

Nouri, Zahra, Ujwal Gadiraju, Gregor Engels, and Henning Wachsmuth. “What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing.” In Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 165–75, 2021.

Spliethöver, Maximilian, and Henning Wachsmuth. “Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models.”https://doi.org/10.24963/ijcai.2021/77__In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, 552–59, 2021.https://doi.org/10.24963/ijcai.2021/77 .

Syed, Shahbaz, Khalid Al-Khatib, Milad Alshomary, Henning Wachsmuth, and Martin Potthast. “Generating Informative Conclusions for Argumentative Texts.” In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021): Findings, 3482–93, 2021.

Barrow, Joe, Rajiv Jain, Nedim Lipka, Franck Dernoncourt, Vlad Morariu, Varun Manjunatha, Douglas Oard, Philip Resnik, and Henning Wachsmuth. “Syntopical Graphs for Computational Argumentation Tasks.” In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), 1583–95, 2021.

Al-Khatib, Khalid, Lukas Trautner, Henning Wachsmuth, Yufang Hou, and Benno Stein. “Employing Argumentation Knowledge Graphs for Neural Argument Generation.” In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), 4744–54, 2021.

Kiesel, Johannes, Damiano Spina, Henning Wachsmuth, and Benno Stein. “The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases.” In Proceedings of the 2021 Conversational User Interfaces Conference, 1–5, 2021.

Alshomary, Milad, and Henning Wachsmuth. “Toward Audience-Aware Argument Generation.” Patterns 2, no. 6 (2021).

Alshomary, Milad, Timon Gurcke, Shahbaz Syed, Philipp Heinisch, Maximilian Spliethöver, Philipp Cimiano, Martin Potthast, and Henning Wachsmuth. “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization.” In Proceedings of the 8th Workshop on Argument Mining, 184–89, 2021.

Nouri, Zahra, Nikhil Prakash, Ujwal Gadiraju, and Henning Wachsmuth. “IClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing.” In Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021, 2021.

Gurcke, Timon, Milad Alshomary, and Henning Wachsmuth. “Assessing the Sufficiency of Arguments through Conclusion Generation.” In Proceedings of the 8th Workshop on Argument Mining, 67–77, 2021.

Alshomary, Milad, Wei-Fan Chen, Timon Gurcke, and Henning Wachsmuth. “Belief-Based Generation of Argumentative Claims.” In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 224–223. Association for Computational Linguistics, 2021.

Chen, Wei-Fan, Khalid Al Khatib, Benno Stein, and Henning Wachsmuth. “Controlled Neural Sentence-Level Reframing of News Articles.” In Findings of the Association for Computational Linguistics: EMNLP 2021, 2683–93, 2021.

Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.”https://doi.org/10.18653/v1/2021.findings-acl.159__In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), 1816–1827. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, 2021.https://doi.org/10.18653/v1/2021.findings-acl.159 .

Rohlfing, Katharina J., Philipp Cimiano, Ingrid Scharlau, Tobias Matzner, Heike M. Buhl, Hendrik Buschmeier, Elena Esposito, et al. “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems.”https://doi.org/10.1109/tcds.2020.3044366__IEEE Transactions on Cognitive and Developmental Systems 13, no. 3 (2021): 717–28.https://doi.org/10.1109/tcds.2020.3044366 .

Nouri, Zahra, Henning Wachsmuth, and Gregor Engels. “Mining Crowdsourcing Problems from Discussion Forums of Workers.” In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, 6264–76, n.d.

El Baff, Roxanne, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. “Persuasiveness of News Editorials Depending on Ideology and Personality.” In Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020), 29–40, 2020.

Spliethöver, Maximilian, and Henning Wachsmuth. “Argument from Old Man’s View: Assessing Social Bias in Argumentation.” In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 76–87, 2020.