Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning How to Explain.” In Proceedings of the 29th International Conference on Computational Linguistics, 344–54, 2022.

Wachsmuth, Henning, Benno Stein, and Yamen Ajjour. “‘Page Rank’’’ for Argument Relevance.’” In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, 1117–27, 2017.

Chen, Wei-Fan, Mei-Hua Chen, Ming-Lung Chen, and Lun-Wei Ku. “A Computer-Assistance Learning System for Emotional Wording.” IEEE Transactions on Knowledge and Data Engineering 28, no. 5 (2015): 1093–1104.

Al Khatib, Khalid, Henning Wachsmuth, Johannes Kiesel, Matthias Hagen, and Benno Stein. “A News Editorial Corpus for Mining Argumentation Strategies.” In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 3433–43, 2016.

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.

Wachsmuth, Henning, Martin Trenkmann, Benno Stein, Gregor Engels, and Tsvetomira Palakarska. “A Review Corpus for Argumentation Analysis.” In Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics, 115–127, 2014.

Chen, Wei-Fan, Chin-Kuan Kuo, Yih-Ru  Wang, and Sin-Horng  Chen. “A Syllable-Based Prosody Modeling for L1 and L2 English Speeches.” In Proceedings of the 8th International Symposium on Chinese Spoken Language Processing, 281–85. IEEE, 2012.

Wachsmuth, Henning, and Benno Stein. “A Universal Model for Discourse-Level Argumentation Analysis.” Special Section of the ACM Transactions on Internet Technology: Argumentation in Social Media, no. 3 (2017): 1–24.

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.

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.

Chen, Wei-Fan, Mei-Hua Chen, Garima Mudgal, and Henning Wachsmuth. “Analyzing Culture-Specific Argument Structures in Learner Essays.” In Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 51–61, 2022.

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.

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.

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

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.

Alshomary, Milad, and Maja Stahl. “Argument Novelty and Validity Assessment via Multitask and Transfer Learning.” In Proceedings of the 9th Workshop on Argument Mining, 111–114. Online and in Gyeongju, Republic of Korea: International Conference on Computational Linguistics, 2022.

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 .

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 .

Wachsmuth, Henning, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst, Iryna Gurevych, and Benno Stein. “Argumentation Quality Assessment: Theory vs. Practice.”https://doi.org/10.18653/v1/P17-2039__In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 250–55, 2017.https://doi.org/10.18653/v1/P17-2039 .

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.

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.

Wachsmuth, Henning, Mirko Rose, and Gregor Engels. “Automatic Pipeline Construction for Real-Time Annotation.” In 14th International Conference on Intelligent Text Processing and Computational Linguistics, edited by Alexander Gelbukh, 38–49. Lecture Notes in Computer Science, 2013.

Wachsmuth, Henning, and Kathrin Bujna. “Back to the Roots of Genres: Text Classification by Language Function.” In Proceedings of 5th International Joint Conference on Natural Language Processing, edited by Bettina Berendt, Arjen de Vries, Wenfei Fan, Craig Macdonald, Iadh Ounis, and Ian Ruthven, 632–40, 2011.

Sengupta, Meghdut, Milad Alshomary, and Henning Wachsmuth. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” In Proceedings of the 2022 Workshop on Figurative Language Processing, 2022.

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.

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.

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 .

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

Wachsmuth, Henning, Martin Potthast, Khalid Al-Khatib, Yamen Ajjour, Jana Puschmann, Jiani Qu, Jonas Dorsch, Viorel Morari, Janek Bevendorff, and Benno Stein. “Building an Argument Search Engine for the Web.” In Proceedings of the 4th Workshop on Argument Mining, 49–59, 2017.

Heindorf, Stefan, Yan Scholten, Henning Wachsmuth, Axel-Cyrille Ngonga Ngomo, and Martin Potthast. “CauseNet: Towards a Causality Graph Extracted from the Web.”https://doi.org/10.1145/3340531.3412763__In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 3023–30, 2020.https://doi.org/10.1145/3340531.3412763 .

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.

Ku, Lun-Wei, and Wei-Fan Chen. “Chinese Textual Sentiment Analysis: Datasets, Resources and Tools.” In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts, 5–8, 2016.

Skitalinskaya, Gabriella, Jonas Klaû00, and Maximilian Spliethöver. CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction. Vol. 2380. CEUR Workshop Proceedings. Lugano, Switzerland, 2019.

Wachsmuth, Henning, Nona Naderi, Yufang Hou, Yonatan Bilu, Vinodkumar Prabhakaran, Tim Alberdingk Thijm, Graeme Hirst, and Benno Stein. “Computational Argumentation Quality Assessment in Natural Language.” In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, 176–87, 2017.

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.

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

Wachsmuth, Henning, Benno Stein, and Gregor Engels. “Constructing Efficient Information Extraction Pipelines.” In 20th ACM International Conference on Information and Knowledge Management, edited by Bettina Berendt, Arjen de Vries, Wenfei Fan, Craig Macdonald, Iadh Ounis, and Ian Ruthven, 2237–40, 2011.

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.

Al-Khatib, Khalid, Henning Wachsmuth, Matthias Hagen, Jonas Köhler, and Benno Stein. “Cross-Domain Mining of Argumentative Text through Distant Supervision.”https://doi.org/10.18653/v1/N16-1165__In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 1395–1404, 2016.https://doi.org/10.18653/v1/N16-1165 .

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.

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.

Bäumer, Frederik Simon, Wei-Fan Chen, Michaela Geierhos, Joschka Kersting, and Henning Wachsmuth. “Dialogue-Based Requirement Compensation and Style-Adjusted Data-to-Text Generation.”https://doi.org/10.5281/zenodo.8068456__In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:65–84. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.https://doi.org/10.5281/zenodo.8068456 .

Palushi, Juela. Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks, 2022.

Wachsmuth, Henning, Peter Prettenhofer, and Benno Stein. “Efficient Statement Identification for Automatic Market Forecasting.” In Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), 1128–36, 2010.

Chen, Wei-Fan, MeiHua Chen, and Lun-Wei Ku. “Embarrassed or Awkward? Ranking Emotion Synonyms for ESL Learners’ Appropriate Wording.” In Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications, 144–53, 2015.

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.

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.

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 .

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.

Alshomary, Milad, Jonas Rieskamp, and Henning Wachsmuth. “Generating Contrastive Snippets for Argument Search.”http://dx.doi.org/10.3233/FAIA220138__In Proceedings of the 9th International Conference on Computational Models of Argument, 21–31, 2022.http://dx.doi.org/10.3233/FAIA220138 .