Hemsen, P., Hesse, M., Löken, N., &; Nouri, Z. (2020). Platform-independent Reputation and Qualification System for Crowdwork. In 2nd Crowdworking Symposium. Paderborn.

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).

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.

Löken, N. (2020). Cryptography for the Crowd — A Study of Cryptographic Schemes with Applications to Crowd Work.https://doi.org/10.17619/UNIPB/1-854 

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).

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).

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).

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

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.

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