Research Interests
I am a PhD candidate and research assistant at the NLP group at the Artificial Intelligence Institute in Hannover. I studied a bachelor of computer science at Damascus University from 2007 to 2012 and finished my master's at Bauhaus University in the faculty of Computer Science and Digital Media. In my Ph.D., I work on computationally modeling argument generation and how synthesizing arguments in natural language texts. Besides studying computational argumentation, I also focus on studying explanation dialogues and how to model their quality.
[Translate to English:] Publications
Alshomary M, Wachsmuth H. Toward audience-aware argument generation. Patterns. 2021 Jun;2(6):100253. doi: 10.1016/j.patter.2021.100253
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Gurcke T, Alshomary M, Wachsmuth H. Assessing the Sufficiency of Arguments through Conclusion Generation. In 8th Workshop on Argument Mining, ArgMining 2021 - Proceedings. Punta Cana: Association for Computational Linguistics (ACL). 2021. p. 67-77 doi: 10.48550/arXiv.2110.13495
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Syed S, Al-Khatib K, Alshomary M, Wachsmuth H, Potthast M. Generating Informative Conclusions for Argumentative Texts. In Zong C, Xia F, Li W, Navigli R, editors, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics (ACL). 2021. p. 3482-3493 doi: 10.48550/arXiv.2106.01064, 10.18653/v1/2021.findings-acl.306
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Alshomary M, Düsterhus N, Wachsmuth H. Extractive Snippet Generation for Arguments. In SIGIR 2020: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: Association for Computing Machinery, Inc. 2020. p. 1969-1972 doi: 10.1145/3397271.3401186
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Alshomary M, Syed S, Potthast M, Wachsmuth H. Target Inference in Argument Conclusion Generation. In Jurafsky D, Chai J, Schluter N, Tetreault J, editors, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. 2020. p. 4334-4345. (Proceedings of the Annual Meeting of the Association for Computational Linguistics). doi: 10.18653/v1/2020.acl-main.399
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Ajjour Y, Alshomary M, Wachsmuth H, Stein B. Modeling Frames in Argumentation. In Inui K, Jiang J, Ng V, Wan X, editors, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics. 2019. p. 2922-2932 doi: 10.18653/v1/D19-1290
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Alshomary M, Wachsmuth H. Siamese Neural Network for Same Side Stance Classification. In Same Side Stance Classification Shared Task 2019: Proceedings of the Same Side Stance Classification Shared Task organized as a part of the 6th Workshop on Argument Mining (ArgMining 2019) and co-located with the the 57th Annual Meeting of the Association for Computational Linguistics (ACL19) . 2019. p. 12-16. (CEUR Workshop Proceedings).
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Alshomary M, Völske M, Licht T, Wachsmuth H, Stein B, Hagen M et al. Wikipedia Text Reuse: Within and Without. In Stein B, Fuhr N, Azzopardi L, Mayr P, Hiemstra D, Hauff C, editors, Advances in Information Retrieval: 41st European Conference on IR Research, ECIR 2019, Proceedings. Springer Verlag. 2019. p. 747-754. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-15712-8_49
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