Wachsmuth, H., &; Alshomary, M. (2022). “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning How to Explain. Proceedings of the 29th International Conference on Computational Linguistics, 344–354.
LibreCat: /record/33004

Wachsmuth, H., Stein, B., &; Ajjour, Y. (2017). “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 (pp. 1117–1127).
LibreCat: /record/3817

Chen, W.-F., Chen, M.-H., Chen, M.-L., &; Ku, L.-W. (2015). A Computer-assistance Learning System for Emotional Wording. IEEE Transactions on Knowledge and Data Engineering, 28(5), 1093–1104.
LibreCat: /record/14879

Al Khatib, K., Wachsmuth, H., Kiesel, J., Hagen, M., &; Stein, B. (2016). A News Editorial Corpus for Mining Argumentation Strategies. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers (pp. 3433–3443).
LibreCat: /record/3747

Potthast, M., Chen, W.-F., Hagen, M., &; Stein, B. (2018). A Plan for Ancillary Copyright: Original Snippets. Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval, 3–5.
LibreCat: /record/14885

Wachsmuth, H., Trenkmann, M., Stein, B., Engels, G., &; Palakarska, T. (2014). A Review Corpus for Argumentation Analysis. In Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics (pp. 115–127).
LibreCat: /record/20142

Chen, W.-F., Kuo, C.-K.,  Wang, Y.-R., &;  Chen, S.-H. (2012). A Syllable-based Prosody Modeling for L1 and L2 English Speeches. In Proceedings of the 8th International Symposium on Chinese Spoken Language Processing (pp. 281–285). IEEE.
LibreCat: /record/14871

Wachsmuth, H., &; Stein, B. (2017). A Universal Model for Discourse-Level Argumentation Analysis. Special Section of the ACM Transactions on Internet Technology: Argumentation in Social Media, (3), 1–24.
LibreCat: /record/3882

Chen, W.-F., Hagen, M., Stein, B., &; Potthast, M. (2018). A User Study on Snippet Generation: Text Reuse vs. Paraphrases. Proceedings of the 41st International ACM SIGIR Conference on Research &; Development in Information Retrieval, 1033–1036.
LibreCat: /record/14873

Chen, W.-F., Syed, S., Stein, B., Hagen, M., &; Potthast, M. (2020). Abstractive Snippet Generation. Proceedings of the Web Conference 2020, 1309–1319.
LibreCat: /record/15826

Chen, W.-F., Chen, M.-H., Mudgal, G., &; Wachsmuth, H. (2022). Analyzing Culture-Specific Argument Structures in Learner Essays. Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 51–61.
LibreCat: /record/33274

Chen, W.-F., Al-Khatib, K., Wachsmuth, H., &; Stein, B. (2020). Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 149–154.
LibreCat: /record/3776

El Baff, R., Wachsmuth, H., Al-Khatib, K., &; Stein, B. (2020). Analyzing the Persuasive Effect of Style in News Editorial Argumentation. In J. Tsujii &; J. Hajic (Eds.), Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (pp. 553–564).
LibreCat: /record/3878

Chen, M.-H., Chen, W.-F., &; Ku, L.-W. (2018). Application of Sentiment Analysis to Language Learning. IEEE Access, 6, 24433–24442.
LibreCat: /record/14887

Spliethöver, M., &; Wachsmuth, H. (2020). Argument from Old Man’s View: Assessing Social Bias in Argumentation. In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020) (pp. 76–87).
LibreCat: /record/20139

Alshomary, M., &; Stahl, M. (2022). Argument Novelty and Validity Assessment via Multitask and Transfer Learning. Proceedings of the 9th Workshop on Argument Mining, 111–114.
LibreCat: /record/34051

Potthast, M., Gienapp, L., Euchner, F., Heilenkötter, N., Weidmann, N., Wachsmuth, H.,https://doi.org/10.1145/3331184.3331327__Hagen, M. (2019). Argument Search: Assessing Argument Relevance. In 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019) (pp. 1117–1120). ACM.https://doi.org/10.1145/3331184.3331327 
LibreCat: /record/11709
DOI: 10.1145/3331184.3331327

Alshomary, M., Syed, S., Potthast, M., &; Wachsmuth, H. (2021). Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. 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.https://doi.org/10.18653/v1/2021.findings-acl.159 
LibreCat: /record/22229
DOI: 10.18653/v1/2021.findings-acl.159

Wachsmuth, H., Naderi, N., Habernal, I., Hou, Y., Hirst, G., Gurevych, I., &; Stein, B. (2017). Argumentation Quality Assessment: Theory vs. Practice. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (pp. 250–255).https://doi.org/10.18653/v1/P17-2039 
LibreCat: /record/3883
DOI: 10.18653/v1/P17-2039

Wachsmuth, H., Stede, M., El Baff, R., Al Khatib, K., Skeppstedt, M., &; Stein, B. (2018). Argumentation Synthesis following Rhetorical Strategies. In Proceedings of the 27th International Conference on Computational Linguistics (pp. 3753–3765).
LibreCat: /record/4236