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Wachsmuth, “Argument from Old Man’s View: Assessing Social Bias in Argumentation,” in Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 76–87.","short":"M. Spliethöver, H. 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Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, 2021. https://doi.org/10.18653/v1/2021.findings-acl.159.","ama":"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","apa":"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","ieee":"M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “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), Online, 2021, pp. 1816–1827, doi: 10.18653/v1/2021.findings-acl.159.","short":"M. Alshomary, S. Syed, M. Potthast, H. Wachsmuth, 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), Association for Computational Linguistics, 2021, pp. 1816–1827."},"year":"2021","type":"conference","page":"1816–1827"},{"doi":"10.18653/v1/P17-2039","_id":"3883","date_updated":"2022-01-06T06:59:47Z","language":[{"iso":"eng"}],"year":"2017","type":"conference","citation":{"ama":"Wachsmuth H, Naderi N, Habernal I, et al. Argumentation Quality Assessment: Theory vs. Practice. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). ; 2017:250-255. doi:10.18653/v1/P17-2039","apa":"Wachsmuth, H., Naderi, N., Habernal, I., Hou, Y., Hirst, G., Gurevych, I., & Stein, B. (2017). Argumentation Quality Assessment: Theory vs. Practice. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (pp. 250–255). https://doi.org/10.18653/v1/P17-2039","chicago":"Wachsmuth, Henning, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst, Iryna Gurevych, and Benno Stein. “Argumentation Quality Assessment: Theory vs. Practice.” In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 250–55, 2017. https://doi.org/10.18653/v1/P17-2039.","bibtex":"@inproceedings{Wachsmuth_Naderi_Habernal_Hou_Hirst_Gurevych_Stein_2017, title={Argumentation Quality Assessment: Theory vs. Practice}, DOI={10.18653/v1/P17-2039}, booktitle={Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)}, author={Wachsmuth, Henning and Naderi, Nona and Habernal, Ivan and Hou, Yufang and Hirst, Graeme and Gurevych, Iryna and Stein, Benno}, year={2017}, pages={250–255} }","mla":"Wachsmuth, Henning, et al. “Argumentation Quality Assessment: Theory vs. Practice.” Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2017, pp. 250–55, doi:10.18653/v1/P17-2039.","short":"H. Wachsmuth, N. Naderi, I. Habernal, Y. Hou, G. Hirst, I. Gurevych, B. Stein, in: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2017, pp. 250–255.","ieee":"H. Wachsmuth et al., “Argumentation Quality Assessment: Theory vs. Practice,” in Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2017, pp. 250–255."},"page":"250-255","main_file_link":[{"url":"https://www.aclweb.org/anthology/P17-2039.pdf"}],"user_id":"82920","title":"Argumentation Quality Assessment: Theory vs. Practice","status":"public","date_created":"2018-08-11T16:18:38Z","author":[{"id":"3900","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","first_name":"Henning"},{"first_name":"Nona","full_name":"Naderi, Nona","last_name":"Naderi"},{"first_name":"Ivan","full_name":"Habernal, Ivan","last_name":"Habernal"},{"first_name":"Yufang","full_name":"Hou, Yufang","last_name":"Hou"},{"full_name":"Hirst, Graeme","first_name":"Graeme","last_name":"Hirst"},{"first_name":"Iryna","full_name":"Gurevych, Iryna","last_name":"Gurevych"},{"last_name":"Stein","first_name":"Benno","full_name":"Stein, Benno"}],"publication":"Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","department":[{"_id":"568"},{"_id":"600"}]},{"title":"Argumentation Synthesis following Rhetorical Strategies","user_id":"3900","related_material":{"link":[{"url":"http://argumentation.bplaced.net/arguana-publications/posters/wachsmuth18b-coling.pdf","relation":"other"},{"url":"http://argumentation.bplaced.net/arguana-publications/papers/wachsmuth18b-coling.pdf","relation":"research_paper"}]},"author":[{"full_name":"Wachsmuth, Henning","first_name":"Henning","id":"3900","last_name":"Wachsmuth"},{"full_name":"Stede, Manfred","first_name":"Manfred","last_name":"Stede"},{"first_name":"Roxanne","full_name":"El Baff, Roxanne","last_name":"El Baff"},{"last_name":"Al Khatib","first_name":"Khalid","full_name":"Al Khatib, Khalid"},{"last_name":"Skeppstedt","first_name":"Maria","full_name":"Skeppstedt, Maria"},{"last_name":"Stein","full_name":"Stein, Benno","first_name":"Benno"}],"keyword":["argument"],"publication":"Proceedings of the 27th International Conference on Computational Linguistics","department":[{"_id":"600"},{"_id":"568"}],"status":"public","date_created":"2018-08-29T07:48:35Z","_id":"4236","date_updated":"2022-01-06T07:00:40Z","conference":{"name":"ACL 18"},"main_file_link":[{"url":"http://aclweb.org/anthology/C18-1318 "}],"type":"conference","citation":{"short":"H. Wachsmuth, M. Stede, R. El Baff, K. Al Khatib, M. Skeppstedt, B. Stein, in: Proceedings of the 27th International Conference on Computational Linguistics, 2018, pp. 3753–3765.","ieee":"H. Wachsmuth, M. Stede, R. El Baff, K. Al Khatib, M. Skeppstedt, and B. Stein, “Argumentation Synthesis following Rhetorical Strategies,” in Proceedings of the 27th International Conference on Computational Linguistics, 2018, pp. 3753–3765.","chicago":"Wachsmuth, Henning, Manfred Stede, Roxanne El Baff, Khalid Al Khatib, Maria Skeppstedt, and Benno Stein. “Argumentation Synthesis Following Rhetorical Strategies.” In Proceedings of the 27th International Conference on Computational Linguistics, 3753–65, 2018.","ama":"Wachsmuth H, Stede M, El Baff R, Al Khatib K, Skeppstedt M, Stein B. Argumentation Synthesis following Rhetorical Strategies. In: Proceedings of the 27th International Conference on Computational Linguistics. ; 2018:3753-3765.","apa":"Wachsmuth, H., Stede, M., El Baff, R., Al Khatib, K., Skeppstedt, M., & Stein, B. (2018). Argumentation Synthesis following Rhetorical Strategies. In Proceedings of the 27th International Conference on Computational Linguistics (pp. 3753–3765).","mla":"Wachsmuth, Henning, et al. “Argumentation Synthesis Following Rhetorical Strategies.” Proceedings of the 27th International Conference on Computational Linguistics, 2018, pp. 3753–65.","bibtex":"@inproceedings{Wachsmuth_Stede_El Baff_Al Khatib_Skeppstedt_Stein_2018, title={Argumentation Synthesis following Rhetorical Strategies}, booktitle={Proceedings of the 27th International Conference on Computational Linguistics}, author={Wachsmuth, Henning and Stede, Manfred and El Baff, Roxanne and Al Khatib, Khalid and Skeppstedt, Maria and Stein, Benno}, year={2018}, pages={3753–3765} }"},"year":"2018","page":"3753-3765","language":[{"iso":"eng"}]},{"date_updated":"2022-05-06T08:48:51Z","_id":"25295","main_file_link":[{"url":"https://aclanthology.org/2021.argmining-1.7.pdf"}],"page":"67 - 77","type":"conference","citation":{"short":"T. Gurcke, M. Alshomary, H. Wachsmuth, in: Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 67–77.","ieee":"T. Gurcke, M. Alshomary, and H. Wachsmuth, “Assessing the Sufficiency of Arguments through Conclusion Generation,” in Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 67–77.","chicago":"Gurcke, Timon, Milad Alshomary, and Henning Wachsmuth. “Assessing the Sufficiency of Arguments through Conclusion Generation.” In Proceedings of the 8th Workshop on Argument Mining, 67–77, 2021.","apa":"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.","ama":"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.","mla":"Gurcke, Timon, et al. “Assessing the Sufficiency of Arguments through Conclusion Generation.” Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 67–77.","bibtex":"@inproceedings{Gurcke_Alshomary_Wachsmuth_2021, title={Assessing the Sufficiency of Arguments through Conclusion Generation}, booktitle={Proceedings of the 8th Workshop on Argument Mining}, author={Gurcke, Timon and Alshomary, Milad and Wachsmuth, Henning}, year={2021}, pages={67–77} }"},"year":"2021","language":[{"iso":"eng"}],"title":"Assessing the Sufficiency of Arguments through Conclusion Generation","user_id":"52174","publication":"Proceedings of the 8th Workshop on Argument Mining","department":[{"_id":"600"}],"author":[{"full_name":"Gurcke, Timon","first_name":"Timon","id":"52174","last_name":"Gurcke"},{"id":"73059","last_name":"Alshomary","full_name":"Alshomary, Milad","first_name":"Milad"},{"first_name":"Henning","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","id":"3900"}],"date_created":"2021-10-04T12:38:02Z","project":[{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"status":"public"},{"_id":"3876","date_updated":"2022-01-06T06:59:47Z","language":[{"iso":"eng"}],"page":"38-49","year":"2013","citation":{"short":"H. Wachsmuth, M. Rose, G. Engels, in: A. Gelbukh (Ed.), 14th International Conference on Intelligent Text Processing and Computational Linguistics, 2013, pp. 38–49.","ieee":"H. Wachsmuth, M. Rose, and G. Engels, “Automatic Pipeline Construction for Real-Time Annotation,” in 14th International Conference on Intelligent Text Processing and Computational Linguistics, 2013, pp. 38–49.","chicago":"Wachsmuth, Henning, Mirko Rose, and Gregor Engels. “Automatic Pipeline Construction for Real-Time Annotation.” In 14th International Conference on Intelligent Text Processing and Computational Linguistics, edited by Alexander Gelbukh, 38–49. Lecture Notes in Computer Science, 2013.","apa":"Wachsmuth, H., Rose, M., & Engels, G. (2013). Automatic Pipeline Construction for Real-Time Annotation. In A. Gelbukh (Ed.), 14th International Conference on Intelligent Text Processing and Computational Linguistics (pp. 38–49).","ama":"Wachsmuth H, Rose M, Engels G. Automatic Pipeline Construction for Real-Time Annotation. In: Gelbukh A, ed. 14th International Conference on Intelligent Text Processing and Computational Linguistics. Lecture Notes in Computer Science. ; 2013:38-49.","bibtex":"@inproceedings{Wachsmuth_Rose_Engels_2013, series={Lecture Notes in Computer Science}, title={Automatic Pipeline Construction for Real-Time Annotation}, booktitle={14th International Conference on Intelligent Text Processing and Computational Linguistics}, author={Wachsmuth, Henning and Rose, Mirko and Engels, Gregor}, editor={Gelbukh, AlexanderEditor}, year={2013}, pages={38–49}, collection={Lecture Notes in Computer Science} }","mla":"Wachsmuth, Henning, et al. “Automatic Pipeline Construction for Real-Time Annotation.” 14th International Conference on Intelligent Text Processing and Computational Linguistics, edited by Alexander Gelbukh, 2013, pp. 38–49."},"type":"conference","series_title":"Lecture Notes in Computer Science","main_file_link":[{"url":"https://webis.de/downloads/publications/papers/wachsmuth_2013.pdf"}],"user_id":"82920","title":"Automatic Pipeline Construction for Real-Time Annotation","date_created":"2018-08-11T16:12:29Z","status":"public","editor":[{"last_name":"Gelbukh","full_name":"Gelbukh, Alexander","first_name":"Alexander"}],"publication":"14th International Conference on Intelligent Text Processing and Computational Linguistics","department":[{"_id":"600"}],"author":[{"first_name":"Henning","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","id":"3900"},{"last_name":"Rose","full_name":"Rose, Mirko","first_name":"Mirko"},{"last_name":"Engels","first_name":"Gregor","full_name":"Engels, Gregor"}]},{"department":[{"_id":"600"}],"publication":"Proceedings of 5th International Joint Conference on Natural Language Processing","author":[{"full_name":"Wachsmuth, Henning","first_name":"Henning","id":"3900","last_name":"Wachsmuth"},{"last_name":"Bujna","first_name":"Kathrin","full_name":"Bujna, Kathrin"}],"date_created":"2018-08-02T13:38:36Z","status":"public","publication_identifier":{"isbn":["978-1-4503-0717-8"]},"editor":[{"last_name":"Berendt","first_name":"Bettina","full_name":"Berendt, Bettina"},{"full_name":"de Vries, Arjen","first_name":"Arjen","last_name":"de Vries"},{"full_name":"Fan, Wenfei","first_name":"Wenfei","last_name":"Fan"},{"last_name":"Macdonald","full_name":"Macdonald, Craig","first_name":"Craig"},{"last_name":"Ounis","first_name":"Iadh","full_name":"Ounis, Iadh"},{"last_name":"Ruthven","full_name":"Ruthven, Ian","first_name":"Ian"}],"user_id":"82920","title":"Back to the Roots of Genres: Text Classification by Language Function","main_file_link":[{"url":"https://www.aclweb.org/anthology/I11-1071.pdf"}],"language":[{"iso":"eng"}],"page":"632-640","citation":{"chicago":"Wachsmuth, Henning, and Kathrin Bujna. “Back to the Roots of Genres: Text Classification by Language Function.” In Proceedings of 5th International Joint Conference on Natural Language Processing, edited by Bettina Berendt, Arjen de Vries, Wenfei Fan, Craig Macdonald, Iadh Ounis, and Ian Ruthven, 632–40, 2011.","apa":"Wachsmuth, H., & Bujna, K. (2011). Back to the Roots of Genres: Text Classification by Language Function. In B. Berendt, A. de Vries, W. Fan, C. Macdonald, I. Ounis, & I. Ruthven (Eds.), Proceedings of 5th International Joint Conference on Natural Language Processing (pp. 632–640).","ama":"Wachsmuth H, Bujna K. Back to the Roots of Genres: Text Classification by Language Function. In: Berendt B, de Vries A, Fan W, Macdonald C, Ounis I, Ruthven I, eds. Proceedings of 5th International Joint Conference on Natural Language Processing. ; 2011:632-640.","mla":"Wachsmuth, Henning, and Kathrin Bujna. “Back to the Roots of Genres: Text Classification by Language Function.” Proceedings of 5th International Joint Conference on Natural Language Processing, edited by Bettina Berendt et al., 2011, pp. 632–40.","bibtex":"@inproceedings{Wachsmuth_Bujna_2011, title={Back to the Roots of Genres: Text Classification by Language Function}, booktitle={Proceedings of 5th International Joint Conference on Natural Language Processing}, author={Wachsmuth, Henning and Bujna, Kathrin}, editor={Berendt, Bettina and de Vries, Arjen and Fan, Wenfei and Macdonald, Craig and Ounis, Iadh and Ruthven, IanEditors}, year={2011}, pages={632–640} }","short":"H. Wachsmuth, K. Bujna, in: B. Berendt, A. de Vries, W. Fan, C. Macdonald, I. Ounis, I. Ruthven (Eds.), Proceedings of 5th International Joint Conference on Natural Language Processing, 2011, pp. 632–640.","ieee":"H. Wachsmuth and K. Bujna, “Back to the Roots of Genres: Text Classification by Language Function,” in Proceedings of 5th International Joint Conference on Natural Language Processing, 2011, pp. 632–640."},"type":"conference","year":"2011","date_updated":"2022-01-06T06:59:37Z","_id":"3811"},{"title":"Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning","user_id":"82920","status":"public","date_created":"2022-11-14T08:49:07Z","author":[{"last_name":"Sengupta","first_name":"Meghdut","full_name":"Sengupta, Meghdut"},{"last_name":"Alshomary","id":"73059","first_name":"Milad","full_name":"Alshomary, Milad"},{"last_name":"Wachsmuth","id":"3900","first_name":"Henning","full_name":"Wachsmuth, Henning"}],"publication":"Proceedings of the 2022 Workshop on Figurative Language Processing","department":[{"_id":"600"}],"_id":"34067","date_updated":"2022-11-14T08:49:15Z","type":"conference","citation":{"short":"M. Sengupta, M. Alshomary, H. Wachsmuth, in: Proceedings of the 2022 Workshop on Figurative Language Processing, 2022.","ieee":"M. Sengupta, M. Alshomary, and H. Wachsmuth, “Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning,” 2022.","apa":"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.","ama":"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.","chicago":"Sengupta, Meghdut, Milad Alshomary, and Henning Wachsmuth. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” In Proceedings of the 2022 Workshop on Figurative Language Processing, 2022.","bibtex":"@inproceedings{Sengupta_Alshomary_Wachsmuth_2022, title={Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning}, booktitle={Proceedings of the 2022 Workshop on Figurative Language Processing}, author={Sengupta, Meghdut and Alshomary, Milad and Wachsmuth, Henning}, year={2022} }","mla":"Sengupta, Meghdut, et al. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” Proceedings of the 2022 Workshop on Figurative Language Processing, 2022."},"year":"2022","language":[{"iso":"eng"}]},{"status":"public","date_created":"2018-08-02T13:38:29Z","author":[{"last_name":"Habernal","first_name":"Ivan","full_name":"Habernal, Ivan"},{"full_name":"Wachsmuth, Henning","first_name":"Henning","id":"3900","last_name":"Wachsmuth"},{"last_name":"Gurevych","full_name":"Gurevych, Iryna","first_name":"Iryna"},{"full_name":"Stein, Benno","first_name":"Benno","last_name":"Stein"}],"department":[{"_id":"568"},{"_id":"600"}],"publication":"Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)","user_id":"82920","title":"Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation","language":[{"iso":"eng"}],"year":"2018","citation":{"short":"I. Habernal, H. Wachsmuth, I. Gurevych, B. Stein, in: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), 2018, pp. 386–396.","ieee":"I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation,” in Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), 2018, pp. 386–396.","chicago":"Habernal, Ivan, Henning Wachsmuth, Iryna Gurevych, and Benno Stein. “Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation.” In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), 386–96, 2018.","ama":"Habernal I, Wachsmuth H, Gurevych I, Stein B. Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). ; 2018:386-396.","apa":"Habernal, I., Wachsmuth, H., Gurevych, I., & Stein, B. (2018). Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) (pp. 386–396).","mla":"Habernal, Ivan, et al. “Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation.” Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), 2018, pp. 386–96.","bibtex":"@inproceedings{Habernal_Wachsmuth_Gurevych_Stein_2018, title={Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation}, booktitle={Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)}, author={Habernal, Ivan and Wachsmuth, Henning and Gurevych, Iryna and Stein, Benno}, year={2018}, pages={386–396} }"},"type":"conference","page":"386-396","main_file_link":[{"url":"https://www.aclweb.org/anthology/N18-1036.pdf"}],"_id":"3806","date_updated":"2022-01-06T06:59:36Z"},{"publication":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume","department":[{"_id":"600"}],"author":[{"id":"73059","last_name":"Alshomary","full_name":"Alshomary, Milad","first_name":"Milad"},{"full_name":"Chen, Wei-Fan","first_name":"Wei-Fan","id":"82920","last_name":"Chen"},{"first_name":"Timon","full_name":"Gurcke, Timon","last_name":"Gurcke","id":"52174"},{"full_name":"Wachsmuth, Henning","first_name":"Henning","id":"3900","last_name":"Wachsmuth"}],"publisher":"Association for Computational Linguistics","date_created":"2021-02-05T08:00:07Z","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"_id":"9","name":"SFB 901 - B1: SFB 901 - Subproject B1"}],"status":"public","abstract":[{"lang":"eng","text":"When engaging in argumentative discourse, skilled human debaters tailor\r\nclaims to the beliefs of the audience, to construct effective arguments.\r\nRecently, the field of computational argumentation witnessed extensive effort\r\nto address the automatic generation of arguments. However, existing approaches\r\ndo not perform any audience-specific adaptation. In this work, we aim to bridge\r\nthis gap by studying the task of belief-based claim generation: Given a\r\ncontroversial topic and a set of beliefs, generate an argumentative claim\r\ntailored to the beliefs. To tackle this task, we model the people's prior\r\nbeliefs through their stances on controversial topics and extend\r\nstate-of-the-art text generation models to generate claims conditioned on the\r\nbeliefs. Our automatic evaluation confirms the ability of our approach to adapt\r\nclaims to a set of given beliefs. In a manual study, we additionally evaluate\r\nthe generated claims in terms of informativeness and their likelihood to be\r\nuttered by someone with a respective belief. Our results reveal the limitations\r\nof modeling users' beliefs based on their stances, but demonstrate the\r\npotential of encoding beliefs into argumentative texts, laying the ground for\r\nfuture exploration of audience reach."}],"title":"Belief-based Generation of Argumentative Claims","user_id":"82920","main_file_link":[{"url":"https://www.aclweb.org/anthology/2021.eacl-main.17"}],"page":"224-223","type":"conference","year":"2021","citation":{"chicago":"Alshomary, Milad, Wei-Fan Chen, Timon Gurcke, and Henning Wachsmuth. “Belief-Based Generation of Argumentative Claims.” In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 224–223. Association for Computational Linguistics, 2021.","ama":"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.","apa":"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.","bibtex":"@inproceedings{Alshomary_Chen_Gurcke_Wachsmuth_2021, title={Belief-based Generation of Argumentative Claims}, booktitle={Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume}, publisher={Association for Computational Linguistics}, author={Alshomary, Milad and Chen, Wei-Fan and Gurcke, Timon and Wachsmuth, Henning}, year={2021}, pages={224–223} }","mla":"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.","short":"M. Alshomary, W.-F. Chen, T. Gurcke, H. Wachsmuth, in: 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.","ieee":"M. Alshomary, W.-F. Chen, T. Gurcke, and H. Wachsmuth, “Belief-based Generation of Argumentative Claims,” in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Online, 2021, pp. 224–223."},"language":[{"iso":"eng"}],"conference":{"name":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume","location":"Online"},"_id":"21178","date_updated":"2022-05-09T15:01:53Z"},{"date_updated":"2022-01-06T06:55:28Z","_id":"22156","conference":{"end_date":"2021-08-26","location":"Online","start_date":"2021-08-19","name":"30th International Joint Conference on Artificial Intelligence (IJCAI-21)"},"oa":"1","doi":"10.24963/ijcai.2021/77","main_file_link":[{"open_access":"1","url":"https://www.ijcai.org/proceedings/2021/77"}],"language":[{"iso":"eng"}],"type":"conference","citation":{"chicago":"Spliethöver, Maximilian, and Henning Wachsmuth. “Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models.” In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, 552–59, 2021. https://doi.org/10.24963/ijcai.2021/77.","apa":"Spliethöver, M., & Wachsmuth, H. (2021). Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, 552–559. https://doi.org/10.24963/ijcai.2021/77","ama":"Spliethöver M, Wachsmuth H. Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. ; 2021:552-559. doi:10.24963/ijcai.2021/77","mla":"Spliethöver, Maximilian, and Henning Wachsmuth. “Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models.” Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, 2021, pp. 552–59, doi:10.24963/ijcai.2021/77.","bibtex":"@inproceedings{Spliethöver_Wachsmuth_2021, title={Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models}, DOI={10.24963/ijcai.2021/77}, booktitle={Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21}, author={Spliethöver, Maximilian and Wachsmuth, Henning}, year={2021}, pages={552–559} }","short":"M. Spliethöver, H. Wachsmuth, in: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, 2021, pp. 552–559.","ieee":"M. Spliethöver and H. Wachsmuth, “Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models,” in Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, Online, 2021, pp. 552–559, doi: 10.24963/ijcai.2021/77."},"year":"2021","page":"552-559","abstract":[{"text":"Word embedding models reflect bias towards genders, ethnicities, and other social groups present in the underlying training data. Metrics such as ECT, RNSB, and WEAT quantify bias in these models based on predefined word lists representing social groups and bias-conveying concepts. How suitable these lists actually are to reveal bias - let alone the bias metrics in general - remains unclear, though. In this paper, we study how to assess the quality of bias metrics for word embedding models. In particular, we present a generic method, Bias Silhouette Analysis (BSA), that quantifies the accuracy and robustness of such a metric and of the word lists used. Given a biased and an unbiased reference embedding model, BSA applies the metric systematically for several subsets of the lists to the models. The variance and rate of convergence of the bias values of each model then entail the robustness of the word lists, whereas the distance between the models' values gives indications of the general accuracy of the metric with the word lists. We demonstrate the behavior of BSA on two standard embedding models for the three mentioned metrics with several word lists from existing research.","lang":"eng"}],"user_id":"82920","title":"Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models","author":[{"id":"84035","last_name":"Spliethöver","orcid":"0000-0003-4364-1409","full_name":"Spliethöver, Maximilian","first_name":"Maximilian"},{"first_name":"Henning","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","id":"3900"}],"quality_controlled":"1","publication":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21","department":[{"_id":"600"}],"status":"public","date_created":"2021-05-11T23:13:26Z"},{"publication":"Computational Linguistics","department":[{"_id":"600"}],"author":[{"last_name":"Wachsmuth","id":"3900","first_name":"Henning","full_name":"Wachsmuth, Henning"}],"publisher":"ACL","volume":45,"date_created":"2019-07-11T13:29:48Z","status":"public","title":"Book Review: Argumentation Mining","user_id":"3900","page":"603 - 606","year":"2019","citation":{"bibtex":"@article{Wachsmuth_2019, title={Book Review: Argumentation Mining}, volume={45}, number={3}, journal={Computational Linguistics}, publisher={ACL}, author={Wachsmuth, Henning}, year={2019}, pages={603–606} }","mla":"Wachsmuth, Henning. “Book Review: Argumentation Mining.” Computational Linguistics, vol. 45, no. 3, ACL, 2019, pp. 603–06.","apa":"Wachsmuth, H. (2019). Book Review: Argumentation Mining. Computational Linguistics. ACL.","ama":"Wachsmuth H. Book Review: Argumentation Mining. Computational Linguistics. 2019;45(3):603-606.","chicago":"Wachsmuth, Henning. “Book Review: Argumentation Mining.” Computational Linguistics. ACL, 2019.","ieee":"H. Wachsmuth, “Book Review: Argumentation Mining,” Computational Linguistics, vol. 45, no. 3. ACL, pp. 603–606, 2019.","short":"H. Wachsmuth, Computational Linguistics 45 (2019) 603–606."},"type":"review","language":[{"iso":"eng"}],"intvolume":" 45","_id":"11713","date_updated":"2022-01-06T06:51:07Z","issue":"3"},{"user_id":"82920","title":"Building an Argument Search Engine for the Web","status":"public","date_created":"2018-08-02T13:38:47Z","author":[{"id":"3900","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","first_name":"Henning"},{"last_name":"Potthast","first_name":"Martin","full_name":"Potthast, Martin"},{"last_name":"Al-Khatib","full_name":"Al-Khatib, Khalid","first_name":"Khalid"},{"full_name":"Ajjour, Yamen","first_name":"Yamen","last_name":"Ajjour"},{"last_name":"Puschmann","first_name":"Jana","full_name":"Puschmann, Jana"},{"first_name":"Jiani","full_name":"Qu, Jiani","last_name":"Qu"},{"first_name":"Jonas","full_name":"Dorsch, Jonas","last_name":"Dorsch"},{"last_name":"Morari","first_name":"Viorel","full_name":"Morari, Viorel"},{"last_name":"Bevendorff","first_name":"Janek","full_name":"Bevendorff, Janek"},{"last_name":"Stein","first_name":"Benno","full_name":"Stein, Benno"}],"publication":"Proceedings of the 4th Workshop on Argument Mining","department":[{"_id":"568"},{"_id":"600"}],"date_updated":"2022-01-06T06:59:37Z","_id":"3819","language":[{"iso":"eng"}],"type":"conference","year":"2017","citation":{"ama":"Wachsmuth H, Potthast M, Al-Khatib K, et al. Building an Argument Search Engine for the Web. In: Proceedings of the 4th Workshop on Argument Mining. ; 2017:49-59.","apa":"Wachsmuth, H., Potthast, M., Al-Khatib, K., Ajjour, Y., Puschmann, J., Qu, J., … Stein, B. (2017). Building an Argument Search Engine for the Web. In Proceedings of the 4th Workshop on Argument Mining (pp. 49–59).","chicago":"Wachsmuth, Henning, Martin Potthast, Khalid Al-Khatib, Yamen Ajjour, Jana Puschmann, Jiani Qu, Jonas Dorsch, Viorel Morari, Janek Bevendorff, and Benno Stein. “Building an Argument Search Engine for the Web.” In Proceedings of the 4th Workshop on Argument Mining, 49–59, 2017.","bibtex":"@inproceedings{Wachsmuth_Potthast_Al-Khatib_Ajjour_Puschmann_Qu_Dorsch_Morari_Bevendorff_Stein_2017, title={Building an Argument Search Engine for the Web}, booktitle={Proceedings of the 4th Workshop on Argument Mining}, author={Wachsmuth, Henning and Potthast, Martin and Al-Khatib, Khalid and Ajjour, Yamen and Puschmann, Jana and Qu, Jiani and Dorsch, Jonas and Morari, Viorel and Bevendorff, Janek and Stein, Benno}, year={2017}, pages={49–59} }","mla":"Wachsmuth, Henning, et al. “Building an Argument Search Engine for the Web.” Proceedings of the 4th Workshop on Argument Mining, 2017, pp. 49–59.","short":"H. Wachsmuth, M. Potthast, K. Al-Khatib, Y. Ajjour, J. Puschmann, J. Qu, J. Dorsch, V. Morari, J. Bevendorff, B. Stein, in: Proceedings of the 4th Workshop on Argument Mining, 2017, pp. 49–59.","ieee":"H. Wachsmuth et al., “Building an Argument Search Engine for the Web,” in Proceedings of the 4th Workshop on Argument Mining, 2017, pp. 49–59."},"page":"49-59","main_file_link":[{"url":"https://www.aclweb.org/anthology/W17-5106.pdf"}]},{"status":"public","date_created":"2020-10-20T13:11:14Z","project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"author":[{"first_name":"Stefan","orcid":"0000-0002-4525-6865","full_name":"Heindorf, Stefan","last_name":"Heindorf","id":"11871"},{"full_name":"Scholten, Yan","first_name":"Yan","last_name":"Scholten"},{"full_name":"Wachsmuth, Henning","first_name":"Henning","id":"3900","last_name":"Wachsmuth"},{"last_name":"Ngonga Ngomo","id":"65716","first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille"},{"last_name":"Potthast","first_name":"Martin","full_name":"Potthast, Martin"}],"publication":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020)","department":[{"_id":"574"}],"title":"CauseNet: Towards a Causality Graph Extracted from the Web","user_id":"11871","citation":{"ieee":"S. Heindorf, Y. Scholten, H. Wachsmuth, A.-C. Ngonga Ngomo, and M. Potthast, “CauseNet: Towards a Causality Graph Extracted from the Web,” in Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020, pp. 3023–3030, doi: 10.1145/3340531.3412763.","short":"S. Heindorf, Y. Scholten, H. Wachsmuth, A.-C. Ngonga Ngomo, M. Potthast, in: Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020, pp. 3023–3030.","bibtex":"@inproceedings{Heindorf_Scholten_Wachsmuth_Ngonga Ngomo_Potthast_2020, title={CauseNet: Towards a Causality Graph Extracted from the Web}, DOI={10.1145/3340531.3412763}, booktitle={Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020)}, author={Heindorf, Stefan and Scholten, Yan and Wachsmuth, Henning and Ngonga Ngomo, Axel-Cyrille and Potthast, Martin}, year={2020}, pages={3023–3030} }","mla":"Heindorf, Stefan, et al. “CauseNet: Towards a Causality Graph Extracted from the Web.” Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020, pp. 3023–30, doi:10.1145/3340531.3412763.","apa":"Heindorf, S., Scholten, Y., Wachsmuth, H., Ngonga Ngomo, A.-C., & Potthast, M. (2020). CauseNet: Towards a Causality Graph Extracted from the Web. Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 3023–3030. https://doi.org/10.1145/3340531.3412763","ama":"Heindorf S, Scholten Y, Wachsmuth H, Ngonga Ngomo A-C, Potthast M. CauseNet: Towards a Causality Graph Extracted from the Web. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020). ; 2020:3023-3030. doi:10.1145/3340531.3412763","chicago":"Heindorf, Stefan, Yan Scholten, Henning Wachsmuth, Axel-Cyrille Ngonga Ngomo, and Martin Potthast. “CauseNet: Towards a Causality Graph Extracted from the Web.” In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 3023–30, 2020. https://doi.org/10.1145/3340531.3412763."},"type":"conference","year":"2020","page":"3023-3030","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://papers.dice-research.org/2020/CIKM-20/heindorf_2020a_public.pdf"}],"doi":"10.1145/3340531.3412763","oa":"1","date_updated":"2022-10-15T19:57:01Z","_id":"20141"},{"title":"Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus","user_id":"82920","author":[{"last_name":"El Baff","full_name":"El Baff, Roxanne","first_name":"Roxanne"},{"id":"3900","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","first_name":"Henning"},{"last_name":"Al Khatib","full_name":"Al Khatib, Khalid","first_name":"Khalid"},{"last_name":"Stein","full_name":"Stein, Benno","first_name":"Benno"}],"publisher":"Association for Computational Linguistics","department":[{"_id":"600"},{"_id":"568"}],"publication":"Proceedings of the 22nd Conference on Computational Natural Language Learning","status":"public","date_created":"2019-07-11T13:20:33Z","_id":"11712","date_updated":"2022-01-06T06:51:07Z","main_file_link":[{"url":"https://www.aclweb.org/anthology/K18-1044.pdf"}],"year":"2018","citation":{"bibtex":"@inproceedings{El Baff_Wachsmuth_Al Khatib_Stein_2018, title={Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus}, booktitle={Proceedings of the 22nd Conference on Computational Natural Language Learning}, publisher={Association for Computational Linguistics}, author={El Baff, Roxanne and Wachsmuth, Henning and Al Khatib, Khalid and Stein, Benno}, year={2018}, pages={454–464} }","mla":"El Baff, Roxanne, et al. “Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus.” Proceedings of the 22nd Conference on Computational Natural Language Learning, Association for Computational Linguistics, 2018, pp. 454–64.","chicago":"El Baff, Roxanne, Henning Wachsmuth, Khalid Al Khatib, and Benno Stein. “Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus.” In Proceedings of the 22nd Conference on Computational Natural Language Learning, 454–64. Association for Computational Linguistics, 2018.","apa":"El Baff, R., Wachsmuth, H., Al Khatib, K., & Stein, B. (2018). Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus. In Proceedings of the 22nd Conference on Computational Natural Language Learning (pp. 454–464). Association for Computational Linguistics.","ama":"El Baff R, Wachsmuth H, Al Khatib K, Stein B. Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus. In: Proceedings of the 22nd Conference on Computational Natural Language Learning. Association for Computational Linguistics; 2018:454-464.","ieee":"R. El Baff, H. Wachsmuth, K. Al Khatib, and B. Stein, “Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus,” in Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018, pp. 454–464.","short":"R. El Baff, H. Wachsmuth, K. Al Khatib, B. Stein, in: Proceedings of the 22nd Conference on Computational Natural Language Learning, Association for Computational Linguistics, 2018, pp. 454–464."},"type":"conference","page":"454-464","language":[{"iso":"eng"}]},{"extern":"1","title":"Chinese Textual Sentiment Analysis: Datasets, Resources and Tools","user_id":"82920","author":[{"full_name":"Ku, Lun-Wei","first_name":"Lun-Wei","last_name":"Ku"},{"last_name":"Chen","id":"82920","first_name":"Wei-Fan","full_name":"Chen, Wei-Fan"}],"publication":"Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts","department":[{"_id":"600"}],"status":"public","date_created":"2019-11-11T12:30:04Z","_id":"14883","date_updated":"2022-01-06T06:52:09Z","main_file_link":[{"url":"https://www.aclweb.org/anthology/C16-3002.pdf"}],"type":"conference_abstract","year":"2016","citation":{"ieee":"L.-W. Ku and W.-F. Chen, “Chinese Textual Sentiment Analysis: Datasets, Resources and Tools,” in Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts, 2016, pp. 5–8.","short":"L.-W. Ku, W.-F. Chen, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts, 2016, pp. 5–8.","mla":"Ku, Lun-Wei, and Wei-Fan Chen. “Chinese Textual Sentiment Analysis: Datasets, Resources and Tools.” Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts, 2016, pp. 5–8.","bibtex":"@inproceedings{Ku_Chen_2016, title={Chinese Textual Sentiment Analysis: Datasets, Resources and Tools}, booktitle={Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts}, author={Ku, Lun-Wei and Chen, Wei-Fan}, year={2016}, pages={5–8} }","chicago":"Ku, Lun-Wei, and Wei-Fan Chen. “Chinese Textual Sentiment Analysis: Datasets, Resources and Tools.” In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts, 5–8, 2016.","ama":"Ku L-W, Chen W-F. Chinese Textual Sentiment Analysis: Datasets, Resources and Tools. In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts. ; 2016:5-8.","apa":"Ku, L.-W., & Chen, W.-F. (2016). Chinese Textual Sentiment Analysis: Datasets, Resources and Tools. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts (pp. 5–8)."},"page":"5-8","language":[{"iso":"eng"}]},{"status":"public","date_created":"2018-08-11T16:17:16Z","author":[{"id":"3900","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","first_name":"Henning"},{"last_name":"Naderi","full_name":"Naderi, Nona","first_name":"Nona"},{"last_name":"Hou","full_name":"Hou, Yufang","first_name":"Yufang"},{"full_name":"Bilu, Yonatan","first_name":"Yonatan","last_name":"Bilu"},{"last_name":"Prabhakaran","full_name":"Prabhakaran, Vinodkumar","first_name":"Vinodkumar"},{"first_name":"Tim Alberdingk","full_name":"Thijm, Tim Alberdingk","last_name":"Thijm"},{"last_name":"Hirst","first_name":"Graeme","full_name":"Hirst, Graeme"},{"first_name":"Benno","full_name":"Stein, Benno","last_name":"Stein"}],"publication":"Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers","department":[{"_id":"600"},{"_id":"568"}],"user_id":"82920","title":"Computational Argumentation Quality Assessment in Natural Language","language":[{"iso":"eng"}],"type":"conference","year":"2017","citation":{"bibtex":"@inproceedings{Wachsmuth_Naderi_Hou_Bilu_Prabhakaran_Thijm_Hirst_Stein_2017, title={Computational Argumentation Quality Assessment in Natural Language}, booktitle={Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers}, author={Wachsmuth, Henning and Naderi, Nona and Hou, Yufang and Bilu, Yonatan and Prabhakaran, Vinodkumar and Thijm, Tim Alberdingk and Hirst, Graeme and Stein, Benno}, year={2017}, pages={176–187} }","mla":"Wachsmuth, Henning, et al. “Computational Argumentation Quality Assessment in Natural Language.” Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, 2017, pp. 176–87.","apa":"Wachsmuth, H., Naderi, N., Hou, Y., Bilu, Y., Prabhakaran, V., Thijm, T. 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In this paper, we argue that a novel conceptual framework is needed to overcome shortcomings of existing AI systems with little attention to processes of interaction and learning. Drawing from research in interaction and development, we first outline the novel conceptual framework that pushes the design of AI systems toward true interactivity with an emphasis on the role of the partner and social relevance. We propose that AI systems will be able to provide a meaningful and relevant explanation only if the process of explaining is extended to active contribution of both partners that brings about dynamics that is modulated by different levels of analysis. Accordingly, our conceptual framework comprises monitoring and scaffolding as key concepts and claims that the process of explaining is not only modulated by the interaction between explainee and explainer but is embedded into a larger social context in which conventionalized and routinized behaviors are established. We discuss our conceptual framework in relation to the established objectives of transparency and autonomy that are raised for the design of explainable AI systems currently.","lang":"eng"}],"article_type":"original","page":"717-728","citation":{"bibtex":"@article{Rohlfing_Cimiano_Scharlau_Matzner_Buhl_Buschmeier_Esposito_Grimminger_Hammer_Haeb-Umbach_et al._2021, title={Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems}, volume={13}, DOI={10.1109/tcds.2020.3044366}, number={3}, journal={IEEE Transactions on Cognitive and Developmental Systems}, author={Rohlfing, Katharina J. and Cimiano, Philipp and Scharlau, Ingrid and Matzner, Tobias and Buhl, Heike M. and Buschmeier, Hendrik and Esposito, Elena and Grimminger, Angela and Hammer, Barbara and Haeb-Umbach, Reinhold and et al.}, year={2021}, pages={717–728} }","mla":"Rohlfing, Katharina J., et al. “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems.” IEEE Transactions on Cognitive and Developmental Systems, vol. 13, no. 3, 2021, pp. 717–28, doi:10.1109/tcds.2020.3044366.","apa":"Rohlfing, K. J., Cimiano, P., Scharlau, I., Matzner, T., Buhl, H. M., Buschmeier, H., Esposito, E., Grimminger, A., Hammer, B., Haeb-Umbach, R., Horwath, I., Hüllermeier, E., Kern, F., Kopp, S., Thommes, K., Ngonga Ngomo, A.-C., Schulte, C., Wachsmuth, H., Wagner, P., & Wrede, B. (2021). Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems, 13(3), 717–728. https://doi.org/10.1109/tcds.2020.3044366","ama":"Rohlfing KJ, Cimiano P, Scharlau I, et al. Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems. 2021;13(3):717-728. doi:10.1109/tcds.2020.3044366","chicago":"Rohlfing, Katharina J., Philipp Cimiano, Ingrid Scharlau, Tobias Matzner, Heike M. Buhl, Hendrik Buschmeier, Elena Esposito, et al. “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems.” IEEE Transactions on Cognitive and Developmental Systems 13, no. 3 (2021): 717–28. https://doi.org/10.1109/tcds.2020.3044366.","ieee":"K. J. Rohlfing et al., “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems,” IEEE Transactions on Cognitive and Developmental Systems, vol. 13, no. 3, pp. 717–728, 2021, doi: 10.1109/tcds.2020.3044366.","short":"K.J. Rohlfing, P. Cimiano, I. Scharlau, T. Matzner, H.M. Buhl, H. Buschmeier, E. Esposito, A. Grimminger, B. Hammer, R. Haeb-Umbach, I. Horwath, E. Hüllermeier, F. Kern, S. Kopp, K. Thommes, A.-C. Ngonga Ngomo, C. Schulte, H. Wachsmuth, P. Wagner, B. 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Predicting Facebook Likes Using Post Content and User Engagement}, booktitle={International Conference on HCI in Business, Government, and Organizations}, author={Chen, Wei-Fan and Chen, Yi-Pei and Ku, Lun-Wei}, year={2017}, pages={190–202} }","chicago":"Chen, Wei-Fan, Yi-Pei Chen, and Lun-Wei Ku. “How to Get Endorsements? Predicting Facebook Likes Using Post Content and User Engagement.” In International Conference on HCI in Business, Government, and Organizations, 190–202, 2017.","ama":"Chen W-F, Chen Y-P, Ku L-W. How to Get Endorsements? Predicting Facebook Likes Using Post Content and User Engagement. In: International Conference on HCI in Business, Government, and Organizations. ; 2017:190-202.","apa":"Chen, W.-F., Chen, Y.-P., & Ku, L.-W. (2017). How to Get Endorsements? Predicting Facebook Likes Using Post Content and User Engagement. In International Conference on HCI in Business, Government, and Organizations (pp. 190–202)."},"type":"conference","year":"2017","main_file_link":[{"url":"https://www.iis.sinica.edu.tw/papers/lwku/20654-F.pdf"}],"date_updated":"2022-01-06T06:52:09Z","_id":"14884"},{"_id":"25294","date_updated":"2022-03-08T12:46:44Z","citation":{"short":"Z. Nouri, N. Prakash, U. Gadiraju, H. Wachsmuth, in: Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021, 2021.","ieee":"Z. Nouri, N. Prakash, U. Gadiraju, and H. Wachsmuth, “iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing,” 2021.","ama":"Nouri Z, Prakash N, Gadiraju U, Wachsmuth H. iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing. In: Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021. ; 2021.","apa":"Nouri, Z., Prakash, N., Gadiraju, U., & Wachsmuth, H. 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This paper presents our approach to the Feedback Comment Generation Shared Task, collocated with the 16th International Natural Language Generation Conference (INLG 2023). The approach augments the generation of feedback comments by a self-supervised identification of feedback types in a multitask-learning setting. Within the shared task, other approaches performed more effective, yet the combined modeling of feedback type classification and feedback comment generation is superior to performing feedback generation only."}],"publication_status":"accepted","date_created":"2022-11-15T08:47:57Z","status":"public","publication":"Proceedings of the 16th International Natural Language Generation Conference","author":[{"first_name":"Maja","full_name":"Stahl, Maja","last_name":"Stahl","id":"77647"},{"full_name":"Wachsmuth, Henning","first_name":"Henning","id":"3900","last_name":"Wachsmuth"}],"conference":{"name":"16th International Natural Language Generation Conference"},"date_updated":"2022-11-15T08:48:01Z","_id":"34083","citation":{"ieee":"M. Stahl and H. Wachsmuth, “Identifying Feedback Types to Augment Feedback Comment Generation,” presented at the 16th International Natural Language Generation Conference.","short":"M. Stahl, H. 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Identifying Feedback Types to Augment Feedback Comment Generation. 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Kiesel, M. Alshomary, N. Handke, X. Cai, H. Wachsmuth, B. Stein, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 4459–4471.","ieee":"J. Kiesel, M. Alshomary, N. Handke, X. Cai, H. Wachsmuth, and B. Stein, “Identifying the Human Values behind Arguments,” in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 4459–4471.","chicago":"Kiesel, Johannes, Milad Alshomary, Nicolas Handke, Xiaoni Cai, Henning Wachsmuth, and Benno Stein. “Identifying the Human Values behind Arguments.” In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 4459–71, 2022.","ama":"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.","apa":"Kiesel, J., Alshomary, M., Handke, N., Cai, X., Wachsmuth, H., & Stein, B. 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(2014). iSoNTRE: The Social Network Transformer into Recommendation Engine. 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), 169–175.","ama":"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.","chicago":"Abu Quba Rana, Chamsi, Salima Hassas, Fayyad Usama, Milad Alshomary, and Christine Gertosio. “ISoNTRE: The Social Network Transformer into Recommendation Engine.” 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), 2014, 169–75.","bibtex":"@article{Abu Quba Rana_Hassas_Usama_Alshomary_Gertosio_2014, title={iSoNTRE: The Social Network Transformer into Recommendation Engine}, journal={2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)}, author={Abu Quba Rana, Chamsi and Hassas, Salima and Usama, Fayyad and Alshomary, Milad and Gertosio, Christine}, year={2014}, pages={169–175} }","mla":"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.","short":"C. 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Gertosio, “iSoNTRE: The Social Network Transformer into Recommendation Engine,” 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), pp. 169–175, 2014."},"year":"2014","page":"169-175","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://ieeexplore.ieee.org/document/7073195"}],"date_updated":"2022-01-06T06:59:54Z","_id":"3905","status":"public","date_created":"2018-08-14T13:35:39Z","author":[{"full_name":"Abu Quba Rana, Chamsi","first_name":"Chamsi","last_name":"Abu Quba Rana"},{"first_name":"Salima","full_name":"Hassas, Salima","last_name":"Hassas"},{"last_name":"Usama","first_name":"Fayyad","full_name":"Usama, Fayyad"},{"first_name":"Milad","full_name":"Alshomary, Milad","last_name":"Alshomary","id":"73059"},{"last_name":"Gertosio","full_name":"Gertosio, Christine","first_name":"Christine"}],"publication":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","department":[{"_id":"600"}],"title":"iSoNTRE: The Social Network Transformer into Recommendation Engine","user_id":"73059"},{"date_created":"2021-10-04T12:40:02Z","status":"public","department":[{"_id":"600"}],"publication":"Proceedings of the 8th Workshop on Argument Mining","author":[{"id":"73059","last_name":"Alshomary","full_name":"Alshomary, Milad","first_name":"Milad"},{"id":"52174","last_name":"Gurcke","full_name":"Gurcke, Timon","first_name":"Timon"},{"last_name":"Syed","first_name":"Shahbaz","full_name":"Syed, Shahbaz"},{"last_name":"Heinisch","first_name":"Philipp","full_name":"Heinisch, Philipp"},{"id":"84035","last_name":"Spliethöver","full_name":"Spliethöver, Maximilian","orcid":"0000-0003-4364-1409","first_name":"Maximilian"},{"first_name":"Philipp","full_name":"Cimiano, Philipp","last_name":"Cimiano"},{"last_name":"Potthast","full_name":"Potthast, Martin","first_name":"Martin"},{"full_name":"Wachsmuth, Henning","first_name":"Henning","id":"3900","last_name":"Wachsmuth"}],"title":"Key Point Analysis via Contrastive Learning and Extractive Argument Summarization","user_id":"82920","page":"184 - 189","citation":{"short":"M. Alshomary, T. Gurcke, S. Syed, P. Heinisch, M. Spliethöver, P. Cimiano, M. Potthast, H. Wachsmuth, in: Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 184–189.","ieee":"M. Alshomary et al., “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization,” in Proceedings of the 8th Workshop on Argument Mining, 2021, pp. 184–189.","chicago":"Alshomary, Milad, Timon Gurcke, Shahbaz Syed, Philipp Heinisch, Maximilian Spliethöver, Philipp Cimiano, Martin Potthast, and Henning Wachsmuth. “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization.” In Proceedings of the 8th Workshop on Argument Mining, 184–89, 2021.","ama":"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.","apa":"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. 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The Sonderforschungsbereich (SFB) 901 intends to provide the composition of software service On-the-Fly (OTF). The sub-project (B1) of the SFB 901 project deals with the parameters of service configuration. OTF Computing aims to eradicate the dependency on the requirement engineers for the software development process. However, there is no existing bidirectional chatbot solution that analyses user software requirements and provides viable suggestions to the user regarding their service. Previously, CORDULA chatbot was developed to analyze the software requirements but cannot keep the conversation’s context. The Rasa framework is integrated with the knowledge base to solve the issue, the knowledge base provides domain-specific knowledge to the chatbot. The software description is passed through the natural language understanding process to give consciousness to the chatbot. This process involves various machine learning models, including app family classification, to correctly identify the domain for user OTF service. The statistical models like naïve Bayes, kNN and SVM are compared with transformer models for this classification task. Furthermore, the entities (functional requirements) are also separated from the user description.\r\nThe chatbot provides the suggestion of requirements from the preliminary service template with the support of the knowledge base. Furthermore, the generated response is compared with the state-of-the-art DialoGPT transformer model and ChatterBot conversational library. These models are trained over the software development related conversational dataset. All the responses are ranked using the DialoRPT model, and the BLEU score to evaluates the models’ responses. Moreover, the chatbot mod- els are tested with human participants, they used and scored the chatbot responses based on effectiveness, efficiency and satisfaction. The overall response accuracy is also measured by averaging the user approval over the generated responses.","lang":"eng"}],"user_id":"58701","ddc":["004"],"title":"Knowledge Base Enhanced & User-centric Dialogue Design for OTF Computing","file":[{"content_type":"application/pdf","date_updated":"2023-05-02T13:25:27Z","success":1,"relation":"main_file","file_size":3092211,"file_id":"44325","creator":"jkers","access_level":"closed","file_name":"Thesis-Report-MOBEEN-AHMED-6856465-Knowledge_Base_Enhanced___User_centric_Dialogue_Design_for_OTFComputing.pdf","date_created":"2023-05-02T13:25:27Z"}],"file_date_updated":"2023-05-02T13:25:27Z","department":[{"_id":"600"}],"author":[{"full_name":"Ahmed, Mobeen","first_name":"Mobeen","last_name":"Ahmed"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - Subproject B1","_id":"9"}],"date_created":"2021-12-16T15:13:07Z","has_accepted_license":"1","status":"public","publication_status":"published","date_updated":"2023-05-02T13:25:45Z","_id":"29000","language":[{"iso":"eng"}],"supervisor":[{"first_name":"Joschka","full_name":"Kersting, Joschka","last_name":"Kersting","id":"58701"}],"citation":{"bibtex":"@book{Ahmed_2022, title={Knowledge Base Enhanced & User-centric Dialogue Design for OTF Computing}, author={Ahmed, Mobeen}, year={2022} }","mla":"Ahmed, Mobeen. 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Skitalinskaya, J. Klaff, and H. Wachsmuth, “Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale,” in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, 2021, pp. 1718–1729.","short":"G. Skitalinskaya, J. Klaff, H. Wachsmuth, in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, 2021, pp. 1718–1729.","mla":"Skitalinskaya, Gabriella, et al. “Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale.” Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, 2021, pp. 1718–29.","bibtex":"@inproceedings{Skitalinskaya_Klaff_Wachsmuth_2021, title={Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale}, booktitle={Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics}, author={Skitalinskaya, Gabriella and Klaff, Jonas and Wachsmuth, Henning}, year={2021}, pages={1718–1729} }","chicago":"Skitalinskaya, Gabriella, Jonas Klaff, and Henning Wachsmuth. “Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale.” In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, 1718–29, 2021.","apa":"Skitalinskaya, G., Klaff, J., & Wachsmuth, H. 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Stein, in: Proceedings of the 11th International Conference on Natural Language Generation, Association for Computational Linguistics, 2018, pp. 79–88."},"year":"2018","type":"conference","page":"79-88","date_updated":"2022-05-09T15:04:38Z","_id":"11710","publisher":"Association for Computational Linguistics","author":[{"last_name":"Chen","id":"82920","first_name":"Wei-Fan","full_name":"Chen, Wei-Fan"},{"last_name":"Wachsmuth","id":"3900","first_name":"Henning","full_name":"Wachsmuth, Henning"},{"first_name":"Khalid","full_name":"Al Khatib, Khalid","last_name":"Al Khatib"},{"full_name":"Stein, Benno","first_name":"Benno","last_name":"Stein"}],"publication":"Proceedings of the 11th International Conference on Natural Language Generation","department":[{"_id":"600"},{"_id":"568"}],"status":"public","date_created":"2019-07-11T13:13:43Z","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - B1: SFB 901 - Subproject B1","_id":"9"}],"user_id":"82920","title":"Learning to Flip the Bias of News Headlines"},{"user_id":"82920","ddc":["000"],"title":"Mining Crowdsourcing Problems from Discussion Forums of Workers","date_created":"2020-10-18T12:21:34Z","status":"public","has_accepted_license":"1","publication_status":"accepted","file":[{"file_name":"Mining Crowdsourcing Problems from Discussion Forums of Workers.pdf","date_created":"2020-11-10T14:25:56Z","access_level":"closed","file_id":"20334","creator":"znouri","file_size":610246,"success":1,"relation":"main_file","date_updated":"2020-11-10T14:25:56Z","content_type":"application/pdf"}],"publication":"Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics","file_date_updated":"2020-11-10T14:25:56Z","department":[{"_id":"600"}],"author":[{"first_name":"Zahra","full_name":"Nouri, Zahra","last_name":"Nouri","id":"35802"},{"first_name":"Henning","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","id":"3900"},{"last_name":"Engels","id":"107","first_name":"Gregor","full_name":"Engels, Gregor"}],"conference":{"end_date":"2020-12-13","location":"Barcelona, Spain","start_date":"2020-12-08","name":"The 28th International Conference on Computational Linguistics"},"_id":"20116","date_updated":"2022-01-06T06:54:19Z","language":[{"iso":"eng"}],"page":"6264-6276","citation":{"ieee":"Z. Nouri, H. Wachsmuth, and G. Engels, “Mining Crowdsourcing Problems from Discussion Forums of Workers,” in Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, Barcelona, Spain, pp. 6264–6276.","short":"Z. Nouri, H. Wachsmuth, G. Engels, in: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, n.d., pp. 6264–6276.","mla":"Nouri, Zahra, et al. “Mining Crowdsourcing Problems from Discussion Forums of Workers.” Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, pp. 6264–76.","bibtex":"@inproceedings{Nouri_Wachsmuth_Engels, title={Mining Crowdsourcing Problems from Discussion Forums of Workers}, booktitle={Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics}, author={Nouri, Zahra and Wachsmuth, Henning and Engels, Gregor}, pages={6264–6276} }","apa":"Nouri, Z., Wachsmuth, H., & Engels, G. (n.d.). Mining Crowdsourcing Problems from Discussion Forums of Workers. In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics (pp. 6264–6276). Barcelona, Spain.","ama":"Nouri Z, Wachsmuth H, Engels G. Mining Crowdsourcing Problems from Discussion Forums of Workers. 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Chen, L.-W. Ku, and Y.-H. Lee, “Mining Supportive and Unsupportive Evidence from Facebook Using Anti-reconstruction of the Nuclear Power Plant as an Example,” in 2015 AAAI Spring Symposium Series, 2015.","short":"W.-F. Chen, L.-W. Ku, Y.-H. Lee, in: 2015 AAAI Spring Symposium Series, 2015.","bibtex":"@inproceedings{Chen_Ku_Lee_2015, title={Mining Supportive and Unsupportive Evidence from Facebook Using Anti-reconstruction of the Nuclear Power Plant as an Example}, booktitle={2015 AAAI Spring Symposium Series}, author={Chen, Wei-Fan and Ku, Lun-Wei and Lee, Yann-Hui}, year={2015} }","mla":"Chen, Wei-Fan, et al. “Mining Supportive and Unsupportive Evidence from Facebook Using Anti-Reconstruction of the Nuclear Power Plant as an Example.” 2015 AAAI Spring Symposium Series, 2015.","apa":"Chen, W.-F., Ku, L.-W., & Lee, Y.-H. (2015). Mining Supportive and Unsupportive Evidence from Facebook Using Anti-reconstruction of the Nuclear Power Plant as an Example. 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In: 2015 AAAI Spring Symposium Series. ; 2015.","chicago":"Chen, Wei-Fan, Lun-Wei Ku, and Yann-Hui Lee. “Mining Supportive and Unsupportive Evidence from Facebook Using Anti-Reconstruction of the Nuclear Power Plant as an Example.” In 2015 AAAI Spring Symposium Series, 2015."},"language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:52:09Z","_id":"14877"},{"department":[{"_id":"568"},{"_id":"600"}],"publication":"Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","author":[{"last_name":"Al Khatib","first_name":"Khalid","full_name":"Al Khatib, Khalid"},{"last_name":"Wachsmuth","id":"3900","first_name":"Henning","full_name":"Wachsmuth, Henning"},{"first_name":"Kevin","full_name":"Lang, Kevin","last_name":"Lang"},{"last_name":"Herpel","first_name":"Jakob","full_name":"Herpel, Jakob"},{"last_name":"Hagen","first_name":"Matthias","full_name":"Hagen, Matthias"},{"first_name":"Benno","full_name":"Stein, Benno","last_name":"Stein"}],"date_created":"2018-08-02T13:38:27Z","status":"public","title":"Modeling Deliberative Argumentation Strategies on Wikipedia","user_id":"82920","main_file_link":[{"url":"https://www.aclweb.org/anthology/P18-1237.pdf"}],"page":"2545-2555","type":"conference","year":"2018","citation":{"bibtex":"@inproceedings{Al Khatib_Wachsmuth_Lang_Herpel_Hagen_Stein_2018, title={Modeling Deliberative Argumentation Strategies on Wikipedia}, booktitle={Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)}, author={Al Khatib, Khalid and Wachsmuth, Henning and Lang, Kevin and Herpel, Jakob and Hagen, Matthias and Stein, Benno}, year={2018}, pages={2545–2555} }","mla":"Al Khatib, Khalid, et al. “Modeling Deliberative Argumentation Strategies on Wikipedia.” Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018, pp. 2545–55.","chicago":"Al Khatib, Khalid, Henning Wachsmuth, Kevin Lang, Jakob Herpel, Matthias Hagen, and Benno Stein. “Modeling Deliberative Argumentation Strategies on Wikipedia.” In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2545–55, 2018.","apa":"Al Khatib, K., Wachsmuth, H., Lang, K., Herpel, J., Hagen, M., & Stein, B. (2018). Modeling Deliberative Argumentation Strategies on Wikipedia. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 2545–2555).","ama":"Al Khatib K, Wachsmuth H, Lang K, Herpel J, Hagen M, Stein B. Modeling Deliberative Argumentation Strategies on Wikipedia. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). ; 2018:2545-2555.","ieee":"K. Al Khatib, H. Wachsmuth, K. Lang, J. Herpel, M. Hagen, and B. Stein, “Modeling Deliberative Argumentation Strategies on Wikipedia,” in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018, pp. 2545–2555.","short":"K. Al Khatib, H. Wachsmuth, K. Lang, J. Herpel, M. Hagen, B. Stein, in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018, pp. 2545–2555."},"language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:59:36Z","_id":"3804"},{"main_file_link":[{"url":"https://www.aclweb.org/anthology/D19-1290.pdf"}],"year":"2019","type":"conference","citation":{"apa":"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).","ama":"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.","chicago":"Ajjour, Yamen, Milad Alshomary, Henning Wachsmuth, and Benno Stein. “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, 2915–25, 2019.","bibtex":"@inproceedings{Ajjour_Alshomary_Wachsmuth_Stein_2019, title={Modeling Frames in Argumentation}, booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing}, author={Ajjour, Yamen and Alshomary, Milad and Wachsmuth, Henning and Stein, Benno}, year={2019}, pages={2915–2925} }","mla":"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.","short":"Y. Ajjour, M. Alshomary, H. Wachsmuth, B. Stein, in: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, 2019, pp. 2915–2925.","ieee":"Y. Ajjour, M. Alshomary, H. Wachsmuth, and B. Stein, “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, pp. 2915–2925."},"page":"2915 - 2925","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:51:26Z","_id":"12931","author":[{"full_name":"Ajjour, Yamen","first_name":"Yamen","last_name":"Ajjour"},{"first_name":"Milad","full_name":"Alshomary, Milad","last_name":"Alshomary","id":"73059"},{"last_name":"Wachsmuth","id":"3900","first_name":"Henning","full_name":"Wachsmuth, Henning"},{"full_name":"Stein, Benno","first_name":"Benno","last_name":"Stein"}],"publication":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing","department":[{"_id":"600"},{"_id":"568"}],"status":"public","date_created":"2019-08-14T14:41:12Z","title":"Modeling Frames in Argumentation","user_id":"82920"},{"user_id":"82920","title":"Modeling Review Argumentation for Robust Sentiment Analysis","publication":"Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers","department":[{"_id":"600"}],"author":[{"first_name":"Henning","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","id":"3900"},{"last_name":"Trenkmann","first_name":"Martin","full_name":"Trenkmann, Martin"},{"first_name":"Benno","full_name":"Stein, Benno","last_name":"Stein"},{"last_name":"Engels","first_name":"Gregor","full_name":"Engels, Gregor"}],"date_created":"2018-08-11T16:13:24Z","status":"public","date_updated":"2022-01-06T06:59:47Z","_id":"3877","main_file_link":[{"url":"https://www.aclweb.org/anthology/C14-1053.pdf"}],"language":[{"iso":"eng"}],"page":"553-564","type":"conference","year":"2014","citation":{"bibtex":"@inproceedings{Wachsmuth_Trenkmann_Stein_Engels_2014, title={Modeling Review Argumentation for Robust Sentiment Analysis}, booktitle={Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers}, author={Wachsmuth, Henning and Trenkmann, Martin and Stein, Benno and Engels, Gregor}, year={2014}, pages={553–564} }","mla":"Wachsmuth, Henning, et al. “Modeling Review Argumentation for Robust Sentiment Analysis.” Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, 2014, pp. 553–64.","apa":"Wachsmuth, H., Trenkmann, M., Stein, B., & Engels, G. (2014). Modeling Review Argumentation for Robust Sentiment Analysis. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers (pp. 553–564).","ama":"Wachsmuth H, Trenkmann M, Stein B, Engels G. Modeling Review Argumentation for Robust Sentiment Analysis. In: Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers. ; 2014:553-564.","chicago":"Wachsmuth, Henning, Martin Trenkmann, Benno Stein, and Gregor Engels. “Modeling Review Argumentation for Robust Sentiment Analysis.” In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, 553–64, 2014.","ieee":"H. Wachsmuth, M. Trenkmann, B. Stein, and G. Engels, “Modeling Review Argumentation for Robust Sentiment Analysis,” in Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, 2014, pp. 553–564.","short":"H. Wachsmuth, M. Trenkmann, B. Stein, G. Engels, in: Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, 2014, pp. 553–564."}},{"conference":{"location":"Abu Dhabi","start_date":"2022-12-07","name":"The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)","end_date":"2022-12-11"},"_id":"34047","date_updated":"2022-11-11T12:49:47Z","type":"conference","year":"2022","citation":{"mla":"Spliethöver, Maximilian, et al. “No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media.” Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Association for Computational Linguistics, 2022.","bibtex":"@inproceedings{Spliethöver_Keiff_Wachsmuth_2022, title={No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media}, booktitle={Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)}, publisher={Association for Computational Linguistics}, author={Spliethöver, Maximilian and Keiff, Maximilian and Wachsmuth, Henning}, year={2022} }","ieee":"M. Spliethöver, M. Keiff, and H. Wachsmuth, “No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media,” presented at the The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi, 2022.","chicago":"Spliethöver, Maximilian, Maximilian Keiff, and Henning Wachsmuth. “No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media.” In Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Association for Computational Linguistics, 2022.","apa":"Spliethöver, M., Keiff, M., & Wachsmuth, H. (2022). No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media. Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi.","ama":"Spliethöver M, Keiff M, Wachsmuth H. No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media. In: Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Association for Computational Linguistics; 2022.","short":"M. Spliethöver, M. Keiff, H. Wachsmuth, in: Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Association for Computational Linguistics, 2022."},"language":[{"iso":"eng"}],"extern":"1","abstract":[{"text":"News articles both shape and reflect public opinion across the political\r\nspectrum. Analyzing them for social bias can thus provide valuable insights,\r\nsuch as prevailing stereotypes in society and the media, which are often\r\nadopted by NLP models trained on respective data. Recent work has relied on\r\nword embedding bias measures, such as WEAT. However, several representation\r\nissues of embeddings can harm the measures' accuracy, including low-resource\r\nsettings and token frequency differences. In this work, we study what kind of\r\nembedding algorithm serves best to accurately measure types of social bias\r\nknown to exist in US online news articles. To cover the whole spectrum of\r\npolitical bias in the US, we collect 500k articles and review psychology\r\nliterature with respect to expected social bias. We then quantify social bias\r\nusing WEAT along with embedding algorithms that account for the aforementioned\r\nissues. We compare how models trained with the algorithms on news articles\r\nrepresent the expected social bias. Our results suggest that the standard way\r\nto quantify bias does not align well with knowledge from psychology. While the\r\nproposed algorithms reduce the~gap, they still do not fully match the\r\nliterature.","lang":"eng"}],"external_id":{"arxiv":["2211.03634"]},"title":"No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media","user_id":"84035","department":[{"_id":"600"}],"publication":"Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)","author":[{"first_name":"Maximilian","full_name":"Spliethöver, Maximilian","last_name":"Spliethöver"},{"last_name":"Keiff","full_name":"Keiff, Maximilian","first_name":"Maximilian"},{"first_name":"Henning","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth"}],"publisher":"Association for Computational Linguistics","date_created":"2022-11-10T08:28:53Z","status":"public"},{"date_created":"2022-11-10T08:39:38Z","status":"public","department":[{"_id":"600"}],"publication":"Transactions of the Association for Computational Linguistics","author":[{"last_name":"Lauscher","first_name":"Anne","full_name":"Lauscher, Anne"},{"full_name":"Wachsmuth, Henning","first_name":"Henning","id":"3900","last_name":"Wachsmuth"},{"last_name":"Gurevych","first_name":"Iryna","full_name":"Gurevych, Iryna"},{"first_name":"Goran","full_name":"Glavaš, Goran","last_name":"Glavaš"}],"user_id":"82920","title":"On the Role of Knowledge in Computational Argumentation","language":[{"iso":"eng"}],"year":"2022","type":"journal_article","citation":{"short":"A. Lauscher, H. Wachsmuth, I. Gurevych, G. Glavaš, Transactions of the Association for Computational Linguistics (2022).","ieee":"A. Lauscher, H. Wachsmuth, I. Gurevych, and G. Glavaš, “On the Role of Knowledge in Computational Argumentation,” Transactions of the Association for Computational Linguistics, 2022.","apa":"Lauscher, A., Wachsmuth, H., Gurevych, I., & Glavaš, G. (2022). On the Role of Knowledge in Computational Argumentation. Transactions of the Association for Computational Linguistics.","ama":"Lauscher A, Wachsmuth H, Gurevych I, Glavaš G. On the Role of Knowledge in Computational Argumentation. Transactions of the Association for Computational Linguistics. Published online 2022.","chicago":"Lauscher, Anne, Henning Wachsmuth, Iryna Gurevych, and Goran Glavaš. “On the Role of Knowledge in Computational Argumentation.” Transactions of the Association for Computational Linguistics, 2022.","bibtex":"@article{Lauscher_Wachsmuth_Gurevych_Glavaš_2022, title={On the Role of Knowledge in Computational Argumentation}, journal={Transactions of the Association for Computational Linguistics}, author={Lauscher, Anne and Wachsmuth, Henning and Gurevych, Iryna and Glavaš, Goran}, year={2022} }","mla":"Lauscher, Anne, et al. “On the Role of Knowledge in Computational Argumentation.” Transactions of the Association for Computational Linguistics, 2022."},"_id":"34049","date_updated":"2022-11-10T08:39:48Z"},{"place":"Paderborn","title":"On-The-Fly Computing -- Individualized IT-services in dynamic markets","department":[{"_id":"7"}],"publication_identifier":{"unknown":["978-3-947647-31-6"]},"project":[{"name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ","grant_number":"160364472","_id":"1"},{"name":"SFB 901 - A: SFB 901 - Project Area A","_id":"2"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"},{"_id":"82","name":"SFB 901 - T: SFB 901 - Project Area T"},{"_id":"5","name":"SFB 901 - A1: SFB 901 - Möglichkeiten und Grenzen lokaler Strategien in dynamischen Netzen (Subproject A1)","grant_number":"160364472"},{"name":"SFB 901 - A3: SFB 901 - Der Markt für Services: Anreize, Algorithmen, Implementation (Subproject A3)","grant_number":"160364472","_id":"7"},{"grant_number":"160364472","name":"SFB 901 - A4: SFB 901 - Empirische Analysen in Märkten für OTF Dienstleistungen (Subproject A4)","_id":"8"},{"_id":"9","grant_number":"160364472","name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)"},{"_id":"10","name":"SFB 901 - B2: Konfiguration und Bewertung (B02)","grant_number":"160364472"},{"_id":"11","name":"SFB 901 - B3: SFB 901 - Subproject B3"},{"name":"SFB 901 - B4: SFB 901 - Subproject B4","_id":"12"},{"name":"SFB 901 - C1: SFB 901 - Subproject C1","_id":"13"},{"name":"SFB 901 - C2: SFB 901 - On-The-Fly Compute Centers I: Heterogene Ausführungsumgebungen (Subproject C2)","grant_number":"160364472","_id":"14"},{"_id":"16","grant_number":"160364472","name":"SFB 901 - C4: SFB 901 - On-The-Fly Compute Centers II: Ausführung komponierter Dienste in konfigurierbaren Rechenzentren (Subproject C4)"},{"name":"SFB 901 - C5: SFB 901 - Subproject C5","_id":"17"},{"name":"SFB 901 - T1: SFB 901 -Subproject T1","_id":"83"},{"name":"SFB 901 - T2: SFB 901 -Subproject T2","_id":"84"}],"date_updated":"2023-08-29T06:44:36Z","doi":"10.17619/UNIPB/1-1797","oa":"1","series_title":"Verlagsschriftenreihe des Heinz Nixdorf Instituts","language":[{"iso":"eng"}],"abstract":[{"text":"In the proposal for our CRC in 2011, we formulated a vision of markets for\r\nIT services that describes an approach to the provision of such services\r\nthat was novel at that time and, to a large extent, remains so today:\r\n„Our vision of on-the-fly computing is that of IT services individually and\r\nautomatically configured and brought to execution from flexibly combinable\r\nservices traded on markets. At the same time, we aim at organizing\r\nmarkets whose participants maintain a lively market of services through\r\nappropriate entrepreneurial actions.“\r\nOver the last 12 years, we have developed methods and techniques to\r\naddress problems critical to the convenient, efficient, and secure use of\r\non-the-fly computing. Among other things, we have made the description\r\nof services more convenient by allowing natural language input,\r\nincreased the quality of configured services through (natural language)\r\ninteraction and more efficient configuration processes and analysis\r\nprocedures, made the quality of (the products of) providers in the\r\nmarketplace transparent through reputation systems, and increased the\r\nresource efficiency of execution through reconfigurable heterogeneous\r\ncomputing nodes and an integrated treatment of service description and\r\nconfiguration. We have also developed network infrastructures that have\r\na high degree of adaptivity, scalability, efficiency, and reliability, and\r\nprovide cryptographic guarantees of anonymity and security for market\r\nparticipants and their products and services.\r\nTo demonstrate the pervasiveness of the OTF computing approach, we\r\nhave implemented a proof-of-concept for OTF computing that can run\r\ntypical scenarios of an OTF market. We illustrated the approach using\r\na cutting-edge application scenario – automated machine learning (AutoML).\r\nFinally, we have been pushing our work for the perpetuation of\r\nOn-The-Fly Computing beyond the SFB and sharing the expertise gained\r\nin the SFB in events with industry partners as well as transfer projects.\r\nThis work required a broad spectrum of expertise. Computer scientists\r\nand economists with research interests such as computer networks and\r\ndistributed algorithms, security and cryptography, software engineering\r\nand verification, configuration and machine learning, computer engineering\r\nand HPC, microeconomics and game theory, business informatics\r\nand management have successfully collaborated here.","lang":"eng"}],"ddc":["000"],"user_id":"477","file_date_updated":"2023-07-05T07:19:14Z","publisher":"Heinz Nixdorf Institut, Universität Paderborn","author":[{"full_name":"Haake, Claus-Jochen","first_name":"Claus-Jochen","id":"20801","last_name":"Haake"},{"last_name":"Meyer auf der Heide","id":"15523","first_name":"Friedhelm","full_name":"Meyer auf der Heide, Friedhelm"},{"full_name":"Platzner, Marco","first_name":"Marco","id":"398","last_name":"Platzner"},{"last_name":"Wachsmuth","id":"3900","first_name":"Henning","full_name":"Wachsmuth, Henning"},{"first_name":"Heike","full_name":"Wehrheim, Heike","last_name":"Wehrheim","id":"573"}],"file":[{"date_updated":"2023-07-05T07:19:14Z","content_type":"application/pdf","relation":"main_file","file_size":15480050,"file_id":"45864","creator":"ups","access_level":"open_access","file_name":"SFB-Buch-Final.pdf","date_created":"2023-07-05T07:15:55Z"}],"volume":412,"alternative_title":["Collaborative Research Centre 901 (2011 – 2023)"],"date_created":"2023-07-05T07:16:51Z","has_accepted_license":"1","status":"public","intvolume":" 412","_id":"45863","page":"247","year":"2023","type":"book","citation":{"ama":"Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Heinz Nixdorf Institut, Universität Paderborn; 2023. doi:10.17619/UNIPB/1-1797","apa":"Haake, C.-J., Meyer auf der Heide, F., Platzner, M., Wachsmuth, H., & Wehrheim, H. (2023). On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1797","chicago":"Haake, Claus-Jochen, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol. 412. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.17619/UNIPB/1-1797.","mla":"Haake, Claus-Jochen, et al. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Heinz Nixdorf Institut, Universität Paderborn, 2023, doi:10.17619/UNIPB/1-1797.","bibtex":"@book{Haake_Meyer auf der Heide_Platzner_Wachsmuth_Wehrheim_2023, place={Paderborn}, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={On-The-Fly Computing -- Individualized IT-services in dynamic markets}, volume={412}, DOI={10.17619/UNIPB/1-1797}, publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}, year={2023}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }","short":"C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim, On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023.","ieee":"C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023."}},{"date_updated":"2022-01-06T06:59:37Z","_id":"3812","main_file_link":[{"url":"https://www.aclweb.org/anthology/C12-2125.pdf"}],"type":"conference","year":"2012","citation":{"ieee":"H. Wachsmuth and B. Stein, “Optimal Scheduling of Information Extraction Algorithms,” in Proceedings of COLING 2012: Posters, 2012, pp. 1281–1290.","short":"H. Wachsmuth, B. 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Pipelines for Ad-Hoc Large-Scale Text Mining.; 2015.","apa":"Wachsmuth, H. (2015). Pipelines for Ad-hoc Large-scale Text Mining.","chicago":"Wachsmuth, Henning. Pipelines for Ad-Hoc Large-Scale Text Mining, 2015.","bibtex":"@book{Wachsmuth_2015, title={Pipelines for Ad-hoc Large-scale Text Mining}, author={Wachsmuth, Henning}, year={2015} }","mla":"Wachsmuth, Henning. Pipelines for Ad-Hoc Large-Scale Text Mining. 2015.","short":"H. Wachsmuth, Pipelines for Ad-Hoc Large-Scale Text Mining, 2015.","ieee":"H. 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The term text mining covers tasks that deal with the inference of structured high-quality information from collections and streams of unstructured input texts. Text mining requires task-specific text analysis processes that may consist of several interdependent steps. These processes are realized with sequences of algorithms from information extraction, text classification, and natural language processing. However, the use of such text analysis pipelines is still restricted to addressing a few predefined information needs. We argue that the reasons behind are three-fold: First, text analysis pipelines are usually made manually in respect of the given information need and input texts, because their design requires expert knowledge about the algorithms to be employed. When information needs have to be addressed that are unknown beforehand, text mining hence cannot be performed ad-hoc. Second, text analysis pipelines tend to be inefficient in terms of run-time, because their execution often includes analyzing texts with computationally expensive algorithms. When information needs have to be addressed ad-hoc, text mining hence cannot be performed in the large. And third, text analysis pipelines tend not to robustly achieve high effectiveness on all texts, because their results are often inferred by algorithms that rely on domain-dependent features of texts. Hence, text mining currently cannot guarantee to infer high-quality information. In this thesis, we contribute to the question of how to address information needs from text mining ad-hoc in an efficient and domain-robust manner. We observe that knowledge about a text analysis process and information obtained within the process help to improve the design, the execution, and the results of the pipeline that realizes the process. To this end, we apply different techniques from classical and statistical artificial intelligence. In particular, we first develop knowledge-based approaches for an ad-hoc pipeline construction and for an optimal execution of a pipeline on its input. Then, we show theoretically and practically how to optimize and adapt the schedule of the algorithms in a pipeline based on information in the analyzed input texts in order to maximize execution efficiency. Finally, we learn patterns in the argumentation structures of texts statistically that remain strongly invariant across domains and that, thereby, allow for more robust analysis results in a restricted set of tasks. We formally analyze all developed approaches and we implement them as open-source software applications. Based on these applications, we evaluate the approaches on established and on newly created collections of texts for scientifically and industrially important text analysis tasks, such as financial event extraction and fine-grained sentiment analysis. Our findings show that text analysis pipelines can be designed automatically, which process only portions of text that are relevant for the information need at hand. Through scheduling, the run-time efficiency of pipelines can be improved by up to more than one order of magnitude while maintaining effectiveness. Moreover, we provide evidence that a pipeline's domain robustness substantially benefits from focusing on argumentation structure in tasks like sentiment analysis. We conclude that our approaches denote essential building blocks of enabling ad-hoc large-scale text mining in web search and big data analytics applications.","lang":"eng"}]},{"citation":{"ieee":"H. 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