Kiesel, J., Spina, D., Wachsmuth, H., &; Stein, B. (2021). The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases. Proceedings of the 2021 Conversational User Interfaces Conference, 1–5.
LibreCat: /record/22448

Alshomary, M., Gurcke, T., Syed, S., Heinisch, P., Spliethöver, M., Cimiano, P., Potthast, M., &; Wachsmuth, H. (2021). Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. Proceedings of the 8th Workshop on Argument Mining, 184–189.
LibreCat: /record/25297

Nouri, Z., Prakash, N., Gadiraju, U., &; Wachsmuth, H. (2021). iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing. Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021.
LibreCat: /record/25294

Gurcke, T., Alshomary, M., &; Wachsmuth, H. (2021). Assessing the Sufficiency of Arguments through Conclusion Generation. Proceedings of the 8th Workshop on Argument Mining, 67–77.
LibreCat: /record/25295

Alshomary, M., Chen, W.-F., Gurcke, T., &; Wachsmuth, H. (2021). Belief-based Generation of Argumentative Claims. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 224–223.
LibreCat: /record/21178

Chen, W.-F., Al Khatib, K., Stein, B., &; Wachsmuth, H. (2021). Controlled Neural Sentence-Level Reframing of News Articles. Findings of the Association for Computational Linguistics: EMNLP 2021, 2683–2693.
LibreCat: /record/23709

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

Bülling, J. (2021). Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump.
LibreCat: /record/45788

Mishra, A. (2021). Computational Text Professionalization using Neural Sequence-to-Sequence Models.
LibreCat: /record/45787

Nouri, Z., Wachsmuth, H., &; Engels, G. (n.d.). Mining Crowdsourcing Problems from Discussion Forums of Workers. In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics (pp. 6264–6276). Barcelona, Spain.
LibreCat: /record/20116

El Baff, R., Al-Khatib, K., Stein, B., &; Wachsmuth, H. (2020). 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) (pp. 29–40).
LibreCat: /record/20122

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

Dorsch, J., &; Wachsmuth, H. (2020). Semi-Supervised Cleansing of Web Argument Corpora. In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020) (pp. 19–29).
LibreCat: /record/20140

Bondarenko, A., Fröbe, M., Beloucif, M., Gienapp, L., Ajjour, Y., Panchenko, A.,  Hagen, M. (2020). Overview of Touché 2020: Argument Retrieval. In CEUR Workshop Proceedings (Vol. 2696, pp. 384–395).
LibreCat: /record/20166

Wachsmuth, H., &; Werner, T. (2020). Intrinsic Quality Assessment of Arguments. In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics (pp. 6739–6745).
LibreCat: /record/3800

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

Alshomary, M., Düsterhus, N., &; Wachsmuth, H. (2020). Extractive Snippet Generation for Arguments. In Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1969–1972). Xi’an, China.
LibreCat: /record/7283

Al-Khatib, K., Hou, Y., Wachsmuth, H., Jochim, C., Bonin, F., &; Stein, B. (2020). End-to-End Argumentation Knowledge Graph Construction. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020) (pp. 7367–7374).
LibreCat: /record/15820

Bondarenko, A., Hagen, M., Potthast, M., Wachsmuth, H., Beloucif, M., Biemann, C.,  Stein, B. (2020). Touché: First Shared Task on Argument Retrieval. In Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020) (pp. 517–523).
LibreCat: /record/15821

Kiesel, J., Lang, K., Wachsmuth, H., Hornecker, E., &; Stein, B. (2020). 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) (pp. 53–62).
LibreCat: /record/15825

Kiesel, D., Riehmann, P., Wachsmuth, H., Stein, B., &; Fröhlich, B. (n.d.). Visual Analysis of Argumentation in Essays. IEEE Transactions of Visualization &; Computer Graphics, 27(2), 1139–1148.
LibreCat: /record/10330

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

Syed, S., Chen, W.-F., Hagen, M., Stein, B., Wachsmuth, H., &; Potthast, M. (2020). Task Proposal: Abstractive Snippet Generation for Web Pages. Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 237–241.
LibreCat: /record/20137

Chen, W.-F., Al-Khatib, K., Stein, B., &; Wachsmuth, H. (2020). Detecting Media Bias in News Articles using Gaussian Bias Distributions. Findings of the Association for Computational Linguistics: EMNLP 2020, 4290–4300.
LibreCat: /record/3818

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

Alshomary, M., Syed, S., Potthast, M., &; Wachsmuth, H. (2020). Target Inference in Argument Conclusion Generation. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 4334–4345.
LibreCat: /record/16868

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

Wachsmuth, H. (2019). Book Review: Argumentation Mining. Computational Linguistics. ACL.
LibreCat: /record/11713

Ajjour, Y., Wachsmuth, H.,  Kiesel, J., Potthast, M., Hagen, M., &; Stein, B. (2019). Data Acquisition for Argument Search: The args.me Corpus. In Proceedings of the 42nd Edition of the German Conference on Artificial Intelligence (pp. 48–59).
LibreCat: /record/11714

Ajjour, Y., Alshomary, M., Wachsmuth, H., &; Stein, B. (2019). 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 (pp. 2915–2925).
LibreCat: /record/12931

Stein, B., &; Wachsmuth, H. (Eds.). (2019). Proceedings of the 6th Workshop on Argument Mining. Florence, Italy: Association for Computational Linguistics.
LibreCat: /record/15235

El Baff, R., Wachsmuth, H., Al-Khatib, K., Stede, M., &; Stein, B. (2019). Computational Argumentation Synthesis as a Language Modeling Task. In Proceedings of the 12th International Conference on Natural Language Generation (pp. 54–64). Tokyo, Japan: Association for Computational Linguistics.
LibreCat: /record/13144

Alshomary, M., Völske, M., Licht, T., Wachsmuth, H., Stein, B., Hagen, M., &; Potthast, M. (2019). Wikipedia Text Reuse: Within and Without. In L. Azzopardi, B. Stein, N. Fuhr, P. Mayr, C. Hauff, &; D. Hiemstra (Eds.), Advances in Information Retrieval (pp. 747–754). Cham: Springer International Publishing.
LibreCat: /record/10284

Chen, W.-F., Al-Khatib, K., Hagen, M., Wachsmuth, H., &; Stein, B. (2019). 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, 76–82.
LibreCat: /record/13259

Habernal, I., Wachsmuth, H., Gurevych, I., &; Stein, B. (2018). 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 (pp. 1930–1940).
LibreCat: /record/20188

Al Khatib, K., Wachsmuth, H., Lang, K., Herpel, J., Hagen, M., &; Stein, B. (2018). Modeling Deliberative Argumentation Strategies on Wikipedia. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 2545–2555).
LibreCat: /record/3804

Habernal, I., Wachsmuth, H., Gurevych, I., &; Stein, B. (2018). 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) (pp. 386–396).
LibreCat: /record/3806

Habernal, I., Wachsmuth, H., Gurevych, I., &; Stein, B. (2018). SemEval-2018 Task 12: The Argument Reasoning Comprehension Task. In Proceedings of The 12th International Workshop on Semantic Evaluation (pp. 763–772).
LibreCat: /record/3807

Wachsmuth, H., Syed, S., &; Stein, B. (2018). 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) (pp. 241–251).
LibreCat: /record/3821

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

Ajjour, Y., Wachsmuth, H., Kiesel, D., Riehmann, P., Fan, F., Castiglia, G.,  Stein, B. (2018). 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 (pp. 60–65).
LibreCat: /record/11711

El Baff, R., Wachsmuth, H., Al Khatib, K., &; Stein, B. (2018). Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus. In Proceedings of the 22nd Conference on Computational Natural Language Learning (pp. 454–464). Association for Computational Linguistics.
LibreCat: /record/11712

Chen, W.-F., &; Ku, L.-W. (2018). We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling. IEEE Transactions on Knowledge and Data Engineering, 30(10), 2013–2023.
LibreCat: /record/14886

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

Chen W.-F., &; Ku L.-W. (2018). N2d`c5fŠ9efNf6 CSentiPackage c\55ac9. ff8[78Œc7Š0ayd1[78.
LibreCat: /record/14888

Kiesel, J., Kneist, F., Alshomary, M., Stein, B., Hagen, M., &; Potthast, M. (2018). Reproducible Web Corpora. Journal of Data and Information Quality, 1–25.https://doi.org/10.1145/3239574 
LibreCat: /record/10331
DOI: 10.1145/3239574

Chen, W.-F., Wachsmuth, H., Al Khatib, K., &; Stein, B. (2018). Learning to Flip the Bias of News Headlines. Proceedings of the 11th International Conference on Natural Language Generation, 79–88.
LibreCat: /record/11710

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

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

Ajjour, Y., Chen, W.-F., Kiesel, J., Wachsmuth, H., &; Stein, B. (2017). Unit Segmentation of Argumentative Texts. In Proceedings of the 4th Workshop on Argument Mining (pp. 118–128).
LibreCat: /record/3751