Alshomary, Milad, et al. “Belief-Based Generation of Argumentative Claims.” Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Association for Computational Linguistics, 2021, pp. 224–223.

Alshomary, Milad, et al. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.”10.18653/v1/2021.findings-acl.159__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), Association for Computational Linguistics, 2021, pp. 1816–1827, doi:10.18653/v1/2021.findings-acl.159.

Alshomary, Milad, et al. “Extractive Snippet Generation for Arguments.” Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020, pp. 1969–72.

Alshomary, Milad, et al. “Target Inference in Argument Conclusion Generation.” Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Association for Computational Linguistics, 2020, pp. 4334–45.

Ajjour, Yamen, et al. “Modeling Frames in Argumentation.” Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, 2019, pp. 2915–25.

Alshomary, Milad, et al. “Wikipedia Text Reuse: Within and Without.” Advances in Information Retrieval, edited by Leif Azzopardi et al., Springer International Publishing, 2019, pp. 747–54.

Kiesel, Johannes, et al. “Reproducible Web Corpora.”10.1145/3239574__Journal of Data and Information Quality, 2018, pp. 1–25, doi:10.1145/3239574.

Hagen, Matthias, et al. “Webis at the CLEF 2017 Dynamic Search Lab.” Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum, 2017.

Abu Quba Rana, Chamsi, et al. “ISoNTRE: The Social Network Transformer into Recommendation Engine.” 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), 2014, pp. 169–75.