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, 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 .

Bülling, Jonas. Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump, 2021.

Mishra, Avishek. Computational Text Professionalization Using Neural Sequence-to-Sequence Models, 2021.

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.

Dorsch, Jonas, and Henning Wachsmuth. “Semi-Supervised Cleansing of Web Argument Corpora.” In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 19–29, 2020.

Bondarenko, Alexander, Maik Fröbe, Meriem Beloucif, Lukas Gienapp, Yamen Ajjour, Alexander Panchenko, Chris Biemann, et al. “Overview of Touché 2020: Argument Retrieval.” In CEUR Workshop Proceedings, 2696:384–95, 2020.

Wachsmuth, Henning, and Till Werner. “Intrinsic Quality Assessment of Arguments.” In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, 6739–45, 2020.

El Baff, Roxanne, Henning Wachsmuth, Khalid Al-Khatib, and Benno Stein. “Analyzing the Persuasive Effect of Style in News Editorial Argumentation.” In Proceedings of 58th Annual Meeting of the Association for Computational Linguistics, edited by Junichi Tsujii and Jan Hajic, 553–64, 2020.

Alshomary, Milad, Nick Düsterhus, and Henning Wachsmuth. “Extractive Snippet Generation for Arguments.” In Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 1969–72, 2020.

Al-Khatib, Khalid, Yufang Hou, Henning Wachsmuth, Charles Jochim, Francesca Bonin, and Benno Stein. “End-to-End Argumentation Knowledge Graph Construction.” In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 7367–74, 2020.

Bondarenko, Alexander, Matthias Hagen, Martin Potthast, Henning Wachsmuth, Meriem Beloucif, Chris Biemann, Alexander Panchenko, and Benno Stein. “Touché: First Shared Task on Argument Retrieval.” In Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020), 517–23, 2020.

Kiesel, Johannes, Kevin Lang, Henning Wachsmuth, Eva Hornecker, and Benno Stein. “Investigating Expectations for Voice-Based and Conversational Argument Search on the Web.” In Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction &; Retrieval (CHIIR 2020), 53–62, 2020.

Kiesel, Dora, Patrick Riehmann, Henning Wachsmuth, Benno Stein, and Bernd Fröhlich. “Visual Analysis of Argumentation in Essays.” IEEE Transactions of Visualization &; Computer Graphics 27, no. 2 (n.d.): 1139–48.

Chen, Wei-Fan, Khalid Al-Khatib, Henning Wachsmuth, and Benno Stein. “Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity.” In Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 149–54, 2020.

Syed, Shahbaz, Wei-Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth, and Martin Potthast. “Task Proposal: Abstractive Snippet Generation for Web Pages.” In Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 237–41, 2020.

Chen, Wei-Fan, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. “Detecting Media Bias in News Articles Using Gaussian Bias Distributions.” In Findings of the Association for Computational Linguistics: EMNLP 2020, 4290–4300, 2020.

Chen, Wei-Fan, Shahbaz Syed, Benno Stein, Matthias Hagen, and Martin Potthast. “Abstractive Snippet Generation.” In Proceedings of the Web Conference 2020, 1309–19, 2020.

Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. “Target Inference in Argument Conclusion Generation.” In Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 4334–45. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2020.

Potthast, Martin, Lukas Gienapp, Florian Euchner, Nick Heilenkötter, Nico Weidmann, Henning Wachsmuth, Benno Stein, and Matthias Hagen. “Argument Search: Assessing Argument Relevance.”https://doi.org/10.1145/3331184.3331327__In 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019), 1117–20. ACM, 2019.https://doi.org/10.1145/3331184.3331327 .

Wachsmuth, Henning. “Book Review: Argumentation Mining.” Computational Linguistics. ACL, 2019.

Ajjour, Yamen, Henning Wachsmuth, Johannes  Kiesel, Martin Potthast, Matthias Hagen, and Benno Stein. “Data Acquisition for Argument Search: The Args.Me Corpus.” In Proceedings of the 42nd Edition of the German Conference on Artificial Intelligence, 48–59, 2019.

Ajjour, Yamen, Milad Alshomary, Henning Wachsmuth, and Benno Stein. “Modeling Frames in Argumentation.” In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, 2915–25, 2019.

Stein, Benno, and Henning Wachsmuth, eds. Proceedings of the 6th Workshop on Argument Mining. Florence, Italy: Association for Computational Linguistics, 2019.

El Baff, Roxanne, Henning Wachsmuth, Khalid Al-Khatib, Manfred Stede, and Benno Stein. “Computational Argumentation Synthesis as a Language Modeling Task.” In Proceedings of the 12th International Conference on Natural Language Generation, 54–64. Association for Computational Linguistics, 2019.

Alshomary, Milad, Michael Völske, Tristan Licht, Henning Wachsmuth, Benno Stein, Matthias Hagen, and Martin Potthast. “Wikipedia Text Reuse: Within and Without.” In Advances in Information Retrieval, edited by Leif Azzopardi, Benno Stein, Norbert Fuhr, Philipp Mayr, Claudia Hauff, and Djoerd Hiemstra, 747–54. Cham: Springer International Publishing, 2019.

Chen, Wei-Fan, Khalid Al-Khatib, Matthias Hagen, Henning Wachsmuth, and Benno Stein. “Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition.” In Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom, 76–82, 2019.

Habernal, Ivan, Henning Wachsmuth, Iryna Gurevych, and Benno Stein. “The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants.” In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 1930–1940, 2018.

Al Khatib, Khalid, Henning Wachsmuth, Kevin Lang, Jakob Herpel, Matthias Hagen, and Benno Stein. “Modeling Deliberative Argumentation Strategies on Wikipedia.” In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2545–55, 2018.

Habernal, Ivan, Henning Wachsmuth, Iryna Gurevych, and Benno Stein. “Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation.” In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), 386–96, 2018.

Habernal, Ivan, Henning Wachsmuth, Iryna Gurevych, and Benno Stein. “SemEval-2018 Task 12: The Argument Reasoning Comprehension Task.” In Proceedings of The 12th International Workshop on Semantic Evaluation, 763–72, 2018.

Wachsmuth, Henning, Shahbaz Syed, and Benno Stein. “Retrieval of the Best Counterargument without Prior Topic Knowledge.” In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 241–51, 2018.

Wachsmuth, Henning, Manfred Stede, Roxanne El Baff, Khalid Al Khatib, Maria Skeppstedt, and Benno Stein. “Argumentation Synthesis Following Rhetorical Strategies.” In Proceedings of the 27th International Conference on Computational Linguistics, 3753–65, 2018.

Ajjour, Yamen, Henning Wachsmuth, Dora Kiesel, Patrick Riehmann, Fan Fan, Giuliano Castiglia, Rosemary Adejoh, Bernd Fröhlich, and Benno Stein. “Visualization of the Topic Space of Argument Search Results in Args. Me.” In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 60–65, 2018.

El Baff, Roxanne, Henning Wachsmuth, Khalid Al Khatib, and Benno Stein. “Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus.” In Proceedings of the 22nd Conference on Computational Natural Language Learning, 454–64. Association for Computational Linguistics, 2018.

Chen, Wei-Fan, and Lun-Wei Ku. “We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling.” IEEE Transactions on Knowledge and Data Engineering 30, no. 10 (2018): 2013–23.

Chen, Mei-Hua, Wei-Fan Chen, and Lun-Wei Ku. “Application of Sentiment Analysis to Language Learning.” IEEE Access 6 (2018): 24433–42.

Chen Wei-Fan, and Ku Lun-Wei. “N2d`c5fŠ9efNf6 CSentiPackage c\55ac9.” ff8[78Œc7Š0ayd1[78, 2018.

Kiesel, Johannes, Florian Kneist, Milad Alshomary, Benno Stein, Matthias Hagen, and Martin Potthast. “Reproducible Web Corpora.”https://doi.org/10.1145/3239574__Journal of Data and Information Quality, 2018, 1–25.https://doi.org/10.1145/3239574 .

Chen, Wei-Fan, Henning Wachsmuth, Khalid Al Khatib, and Benno Stein. “Learning to Flip the Bias of News Headlines.” In Proceedings of the 11th International Conference on Natural Language Generation, 79–88. Association for Computational Linguistics, 2018.

Chen, Wei-Fan, Matthias Hagen, Benno Stein, and Martin Potthast. “A User Study on Snippet Generation: Text Reuse vs. Paraphrases.” In Proceedings of the 41st International ACM SIGIR Conference on Research &; Development in Information Retrieval, 1033–36, 2018.

Potthast, Martin, Wei-Fan Chen, Matthias Hagen, and Benno Stein. “A Plan for Ancillary Copyright: Original Snippets.” In Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval, 3–5, 2018.

Ajjour, Yamen, Wei-Fan Chen, Johannes Kiesel, Henning Wachsmuth, and Benno Stein. “Unit Segmentation of Argumentative Texts.” In Proceedings of the 4th Workshop on Argument Mining, 118–28, 2017.