Alshomary M, El Baff R, Gurcke T, Wachsmuth H. The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics. ; 2022:8782-8797.

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

Kiesel J, Alshomary M, Handke N, Cai X, Wachsmuth H, Stein B. Identifying the Human Values behind Arguments. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics. ; 2022:4459-4471.

Sengupta M, Alshomary M, Wachsmuth H. Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. In: Proceedings of the 2022 Workshop on Figurative Language Processing. ; 2022.

Alshomary M, Stahl M. Argument Novelty and Validity Assessment via Multitask and Transfer Learning. In: Proceedings of the 9th Workshop on Argument Mining. International Conference on Computational Linguistics; 2022:111–114.

Alshomary M, Rieskamp J, Wachsmuth H. Generating Contrastive Snippets for Argument Search. In: Proceedings of the 9th International Conference on Computational Models of Argument. ; 2022:21-31. doi:http://dx.doi.org/10.3233/FAIA220138

Syed S, Al-Khatib K, Alshomary M, Wachsmuth H, Potthast M. Generating Informative Conclusions for Argumentative Texts. In: 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): Findings. ; 2021:3482-3493.

Alshomary M, Wachsmuth H. Toward Audience-aware Argument Generation. Patterns. 2021;2(6).

Alshomary M, Gurcke T, Syed S, et al. Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. In: Proceedings of the 8th Workshop on Argument Mining. ; 2021:184-189.

Gurcke T, Alshomary M, Wachsmuth H. Assessing the Sufficiency of Arguments through Conclusion Generation. In: Proceedings of the 8th Workshop on Argument Mining. ; 2021:67-77.

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

Alshomary M, Syed S, Potthast M, Wachsmuth H. Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. In: 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). Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics; 2021:1816–1827. doi:10.18653/v1/2021.findings-acl.159

Alshomary M, Düsterhus N, Wachsmuth H. Extractive Snippet Generation for Arguments. In: Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. ; 2020:1969-1972.

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

Ajjour Y, Alshomary M, Wachsmuth H, Stein B. 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. ; 2019:2915-2925.

Alshomary M, Völske M, Licht T, et al. Wikipedia Text Reuse: Within and Without. In: Azzopardi L, Stein B, Fuhr N, Mayr P, Hauff C, Hiemstra D, eds. Advances in Information Retrieval. Cham: Springer International Publishing; 2019:747-754.

Kiesel J, Kneist F, Alshomary M, Stein B, Hagen M, Potthast M. Reproducible Web Corpora. Journal of Data and Information Quality. 2018:1-25. doi:10.1145/3239574

Hagen M, Kiesel J, Alshomary M, Stein B. Webis at the CLEF 2017 Dynamic Search Lab. In: Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum. ; 2017.

Abu Quba Rana C, Hassas S, Usama F, Alshomary M, Gertosio C. iSoNTRE: The Social Network Transformer into Recommendation Engine. 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA). 2014:169-175.