Habernal, Ivan, et al. “The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants.” Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018, pp. 1930–1940.

Wachsmuth, Henning, et al. “The Impact of Modeling Overall Argumentation with Tree Kernels.” Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017, pp. 2369–79.

Kiesel, Johannes, et al. “The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases.” Proceedings of the 2021 Conversational User Interfaces Conference, 2021, pp. 1–5.

Alshomary, Milad, et al. “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments.” Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 8782–97.

Stahl, Maja, et al. “To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation.” Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science.

Chen, Wei-Fan, et al. “Topic-Based Stance Mining for Social Media Texts.” International Conference on HCI in Business, 2015, pp. 22–33.

Bondarenko, Alexander, et al. “Touché: First Shared Task on Argument Retrieval.” Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020), 2020, pp. 517–23.

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

Ajjour, Yamen, et al. “Unit Segmentation of Argumentative Texts.” Proceedings of the 4th Workshop on Argument Mining, 2017, pp. 118–28.

Chen, Wei-Fan, et al. “Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition.” Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom, 2019, pp. 76–82.

Wachsmuth, Henning, et al. “Using Argument Mining to Assess the Argumentation Quality of Essays.” Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016, pp. 1680–91.

Chen, Wei-Fan, and Lun-Wei Ku. “UTCNN: A Deep Learning Model of Stance Classification on Social Media Text.” Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics, 2016, pp. 1635–45.

Kiesel, Dora, et al. “Visual Analysis of Argumentation in Essays.” IEEE Transactions of Visualization &; Computer Graphics, vol. 27, no. 2, pp. 1139–48.

Ajjour, Yamen, et al. “Visualization of the Topic Space of Argument Search Results in Args. Me.” Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2018, pp. 60–65.

Kiesel, Johannes, et al. “WAT-SL: A Customizable Web Annotation Tool for Segment Labeling.” Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017, pp. 13–16.

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, vol. 30, no. 10, IEEE, 2018, pp. 2013–23.

Hagen, Matthias, et al. “Webis at the CLEF 2017 Dynamic Search Lab.” Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum, 2017.

Nouri, Zahra, et al. “What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing.” Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 2021, pp. 165–75.

Alshomary, Milad, et al. “Wikipedia Text Reuse: Within and Without.” Advances in Information Retrieval, edited by Leif Azzopardi et al., Springer International Publishing, 2019, pp. 747–54.

Chen, Wei-Fan, et al. “WordForce: Visualizing Controversial Words in Debates.” Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, 2016, pp. 273–77.