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23 Publications
2022 | Conference Paper | LibreCat-ID: 22157
Kiesel, J., Alshomary, M., Handke, N., Cai, X., Wachsmuth, H., & Stein, B. (2022). Identifying the Human Values behind Arguments. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 4459–4471.
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2022 | Conference Paper | LibreCat-ID: 34051
Alshomary, M., & Stahl, M. (2022). Argument Novelty and Validity Assessment via Multitask and Transfer Learning. Proceedings of the 9th Workshop on Argument Mining, 111–114.
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2022 | Conference Paper | LibreCat-ID: 32247
Alshomary, M., Rieskamp, J., & Wachsmuth, H. (2022). Generating Contrastive Snippets for Argument Search. Proceedings of the 9th International Conference on Computational Models of Argument, 21–31. http://dx.doi.org/10.3233/FAIA220138
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2022 | Conference Paper | LibreCat-ID: 55337
Wachsmuth, H., & Alshomary, M. (2022). “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations. In N. Calzolari, C.-R. Huang, H. Kim, J. Pustejovsky, L. Wanner, K.-S. Choi, P.-M. Ryu, H.-H. Chen, L. Donatelli, H. Ji, S. Kurohashi, P. Paggio, N. Xue, S. Kim, Y. Hahm, Z. He, T. K. Lee, E. Santus, F. Bond, & S.-H. Na (Eds.), Proceedings of the 29th International Conference on Computational Linguistics (pp. 344–354). International Committee on Computational Linguistics.
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2022 | Conference Paper | LibreCat-ID: 34067
Sengupta, M., Alshomary, M., & Wachsmuth, H. (2022). Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. Proceedings of the 2022 Workshop on Figurative Language Processing.
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2021 | Conference Paper | LibreCat-ID: 22158 |
Syed, S., Al-Khatib, K., Alshomary, M., Wachsmuth, H., & Potthast, M. (2021). Generating Informative Conclusions for Argumentative Texts. 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, 3482–3493.
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2021 | Journal Article | LibreCat-ID: 22449
Alshomary, M., & Wachsmuth, H. (2021). Toward Audience-aware Argument Generation. Patterns, 2(6).
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2021 | Conference Paper | LibreCat-ID: 25297
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.
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2021 | Conference Paper | LibreCat-ID: 25295
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.
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2021 | Conference Paper | LibreCat-ID: 21178
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.
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2021 | Conference Paper | LibreCat-ID: 22229
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
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2020 | Conference Paper | LibreCat-ID: 7283
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.
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2020 | Conference Paper | LibreCat-ID: 16868
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.
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2019 | Conference Paper | LibreCat-ID: 12931
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).
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2019 | Conference Paper | LibreCat-ID: 10284
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.
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2018 | Journal Article | LibreCat-ID: 10331
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
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2017 | Conference Paper | LibreCat-ID: 3904
Hagen, M., Kiesel, J., Alshomary, M., & Stein, B. (2017). Webis at the CLEF 2017 Dynamic Search Lab. In Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum.
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2014 | Journal Article | LibreCat-ID: 3905
Abu Quba Rana, C., Hassas, S., Usama, F., Alshomary, M., & Gertosio, C. (2014). iSoNTRE: The Social Network Transformer into Recommendation Engine. 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), 169–175.
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