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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.

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.

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.

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.

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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).

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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).

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).

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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.

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).

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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).

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.

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.