[{"main_file_link":[{"url":"https://www.aclweb.org/anthology/2021.eacl-main.147/"}],"page":"1718-1729","language":[{"iso":"eng"}],"_id":"20115","user_id":"82920","title":"Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale","year":"2021","status":"public","author":[{"full_name":"Skitalinskaya, Gabriella","first_name":"Gabriella","last_name":"Skitalinskaya"},{"full_name":"Klaff, Jonas","first_name":"Jonas","last_name":"Klaff"},{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900"}],"date_updated":"2022-01-06T06:54:19Z","date_created":"2020-10-16T12:39:27Z","type":"conference","department":[{"_id":"600"}],"publication":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics","citation":{"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.","chicago":"Skitalinskaya, Gabriella, Jonas Klaff, and Henning Wachsmuth. “Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale.” In <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics</i>, 1718–29, 2021.","ieee":"G. Skitalinskaya, J. Klaff, and H. Wachsmuth, “Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale,” in <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics</i>, 2021, pp. 1718–1729.","apa":"Skitalinskaya, G., Klaff, J., &#38; Wachsmuth, H. (2021). Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale. In <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics</i> (pp. 1718–1729).","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} }","ama":"Skitalinskaya G, Klaff J, Wachsmuth H. Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale. In: <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics</i>. ; 2021:1718-1729.","mla":"Skitalinskaya, Gabriella, et al. “Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale.” <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics</i>, 2021, pp. 1718–29."}},{"author":[{"full_name":"Bondarenko, Alexander","first_name":"Alexander","last_name":"Bondarenko"},{"last_name":"Gienapp","first_name":"Lukas","full_name":"Gienapp, Lukas"},{"full_name":"Fröbe, Maik","last_name":"Fröbe","first_name":"Maik"},{"last_name":"Beloucif","first_name":"Meriem","full_name":"Beloucif, Meriem"},{"first_name":"Yamen","last_name":"Ajjour","full_name":"Ajjour, Yamen"},{"full_name":"Panchenko, Alexander","first_name":"Alexander","last_name":"Panchenko"},{"last_name":"Biemann","first_name":"Chris","full_name":"Biemann, Chris"},{"last_name":"Stein","first_name":"Benno","full_name":"Stein, Benno"},{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"},{"full_name":"Potthast, Martin","last_name":"Potthast","first_name":"Martin"},{"full_name":"Hagen, Matthias","first_name":"Matthias","last_name":"Hagen"}],"status":"public","title":"Overview of Touché 2021: Argument Retrieval","year":"2021","date_updated":"2022-01-06T06:59:35Z","_id":"3774","language":[{"iso":"eng"}],"page":"384-395","main_file_link":[{"url":"https://webis.de/downloads/publications/papers/bondarenko_2021.pdf"}],"user_id":"82920","citation":{"apa":"Bondarenko, A., Gienapp, L., Fröbe, M., Beloucif, M., Ajjour, Y., Panchenko, A., … Hagen, M. (2021). Overview of Touché 2021: Argument Retrieval. In <i>Proceedings of the 43rd annual European Conference on Information Retrieval Research</i> (pp. 384–395).","ieee":"A. Bondarenko <i>et al.</i>, “Overview of Touché 2021: Argument Retrieval,” in <i>Proceedings of the 43rd annual European Conference on Information Retrieval Research</i>, 2021, pp. 384–395.","chicago":"Bondarenko, Alexander, Lukas Gienapp, Maik Fröbe, Meriem Beloucif, Yamen Ajjour, Alexander Panchenko, Chris Biemann, et al. “Overview of Touché 2021: Argument Retrieval.” In <i>Proceedings of the 43rd Annual European Conference on Information Retrieval Research</i>, 384–95, 2021.","short":"A. Bondarenko, L. Gienapp, M. Fröbe, M. Beloucif, Y. Ajjour, A. Panchenko, C. Biemann, B. Stein, H. Wachsmuth, M. Potthast, M. Hagen, in: Proceedings of the 43rd Annual European Conference on Information Retrieval Research, 2021, pp. 384–395.","mla":"Bondarenko, Alexander, et al. “Overview of Touché 2021: Argument Retrieval.” <i>Proceedings of the 43rd Annual European Conference on Information Retrieval Research</i>, 2021, pp. 384–95.","ama":"Bondarenko A, Gienapp L, Fröbe M, et al. Overview of Touché 2021: Argument Retrieval. In: <i>Proceedings of the 43rd Annual European Conference on Information Retrieval Research</i>. ; 2021:384-395.","bibtex":"@inproceedings{Bondarenko_Gienapp_Fröbe_Beloucif_Ajjour_Panchenko_Biemann_Stein_Wachsmuth_Potthast_et al._2021, title={Overview of Touché 2021: Argument Retrieval}, booktitle={Proceedings of the 43rd annual European Conference on Information Retrieval Research}, author={Bondarenko, Alexander and Gienapp, Lukas and Fröbe, Maik and Beloucif, Meriem and Ajjour, Yamen and Panchenko, Alexander and Biemann, Chris and Stein, Benno and Wachsmuth, Henning and Potthast, Martin and et al.}, year={2021}, pages={384–395} }"},"publication":"Proceedings of the 43rd annual European Conference on Information Retrieval Research","date_created":"2018-08-02T11:40:53Z","department":[{"_id":"600"}],"type":"conference"},{"date_updated":"2022-01-06T06:55:58Z","author":[{"id":"35802","full_name":"Nouri, Zahra","last_name":"Nouri","first_name":"Zahra"},{"full_name":"Gadiraju, Ujwal","first_name":"Ujwal","last_name":"Gadiraju"},{"id":"107","first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor"},{"last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900"}],"year":"2021","title":"What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing","status":"public","user_id":"82920","_id":"23708","language":[{"iso":"eng"}],"page":"165-175","main_file_link":[{"open_access":"1","url":"https://dl.acm.org/doi/pdf/10.1145/3465336.3475109"}],"citation":{"chicago":"Nouri, Zahra, Ujwal Gadiraju, Gregor Engels, and Henning Wachsmuth. “What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing.” In <i>Proceedings of the 32nd ACM Conference on Hypertext and Social Media</i>, 165–75, 2021.","short":"Z. Nouri, U. Gadiraju, G. Engels, H. Wachsmuth, in: Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 2021, pp. 165–175.","ieee":"Z. Nouri, U. Gadiraju, G. Engels, and H. Wachsmuth, “What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing,” in <i>Proceedings of the 32nd ACM Conference on Hypertext and Social Media</i>, 2021, pp. 165–175.","apa":"Nouri, Z., Gadiraju, U., Engels, G., &#38; Wachsmuth, H. (2021). What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing. <i>Proceedings of the 32nd ACM Conference on Hypertext and Social Media</i>, 165–175.","bibtex":"@inproceedings{Nouri_Gadiraju_Engels_Wachsmuth_2021, title={What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing}, booktitle={Proceedings of the 32nd ACM Conference on Hypertext and Social Media}, author={Nouri, Zahra and Gadiraju, Ujwal and Engels, Gregor and Wachsmuth, Henning}, year={2021}, pages={165–175} }","ama":"Nouri Z, Gadiraju U, Engels G, Wachsmuth H. What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing. In: <i>Proceedings of the 32nd ACM Conference on Hypertext and Social Media</i>. ; 2021:165-175.","mla":"Nouri, Zahra, et al. “What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing.” <i>Proceedings of the 32nd ACM Conference on Hypertext and Social Media</i>, 2021, pp. 165–75."},"publication":"Proceedings of the 32nd ACM Conference on Hypertext and Social Media","department":[{"_id":"600"}],"oa":"1","type":"conference","date_created":"2021-09-02T20:05:52Z"},{"user_id":"82920","doi":"10.24963/ijcai.2021/77","language":[{"iso":"eng"}],"_id":"22156","main_file_link":[{"url":"https://www.ijcai.org/proceedings/2021/77","open_access":"1"}],"page":"552-559","date_updated":"2022-01-06T06:55:28Z","author":[{"full_name":"Spliethöver, Maximilian","first_name":"Maximilian","orcid":"0000-0003-4364-1409","last_name":"Spliethöver","id":"84035"},{"last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900"}],"conference":{"name":"30th International Joint Conference on Artificial Intelligence (IJCAI-21)","start_date":"2021-08-19","location":"Online","end_date":"2021-08-26"},"status":"public","title":"Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models","year":"2021","department":[{"_id":"600"}],"oa":"1","type":"conference","date_created":"2021-05-11T23:13:26Z","quality_controlled":"1","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"}],"citation":{"short":"M. Spliethöver, H. Wachsmuth, in: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, 2021, pp. 552–559.","chicago":"Spliethöver, Maximilian, and Henning Wachsmuth. “Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models.” In <i>Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21</i>, 552–59, 2021. <a href=\"https://doi.org/10.24963/ijcai.2021/77\">https://doi.org/10.24963/ijcai.2021/77</a>.","ieee":"M. Spliethöver and H. Wachsmuth, “Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models,” in <i>Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21</i>, Online, 2021, pp. 552–559, doi: <a href=\"https://doi.org/10.24963/ijcai.2021/77\">10.24963/ijcai.2021/77</a>.","apa":"Spliethöver, M., &#38; Wachsmuth, H. (2021). Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. <i>Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21</i>, 552–559. <a href=\"https://doi.org/10.24963/ijcai.2021/77\">https://doi.org/10.24963/ijcai.2021/77</a>","bibtex":"@inproceedings{Spliethöver_Wachsmuth_2021, title={Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models}, DOI={<a href=\"https://doi.org/10.24963/ijcai.2021/77\">10.24963/ijcai.2021/77</a>}, booktitle={Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21}, author={Spliethöver, Maximilian and Wachsmuth, Henning}, year={2021}, pages={552–559} }","ama":"Spliethöver M, Wachsmuth H. Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. In: <i>Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21</i>. ; 2021:552-559. doi:<a href=\"https://doi.org/10.24963/ijcai.2021/77\">10.24963/ijcai.2021/77</a>","mla":"Spliethöver, Maximilian, and Henning Wachsmuth. “Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models.” <i>Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21</i>, 2021, pp. 552–59, doi:<a href=\"https://doi.org/10.24963/ijcai.2021/77\">10.24963/ijcai.2021/77</a>."},"publication":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21"},{"date_updated":"2022-01-06T06:55:28Z","year":"2021","status":"public","title":"Generating Informative Conclusions for Argumentative Texts","author":[{"full_name":"Syed, Shahbaz","last_name":"Syed","first_name":"Shahbaz"},{"first_name":"Khalid","last_name":"Al-Khatib","full_name":"Al-Khatib, Khalid"},{"last_name":"Alshomary","first_name":"Milad","full_name":"Alshomary, Milad","id":"73059"},{"last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900"},{"full_name":"Potthast, Martin","first_name":"Martin","last_name":"Potthast"}],"user_id":"82920","page":"3482-3493","main_file_link":[{"url":"https://aclanthology.org/2021.findings-acl.306.pdf","open_access":"1"}],"_id":"22158","language":[{"iso":"eng"}],"publication":"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","citation":{"bibtex":"@inproceedings{Syed_Al-Khatib_Alshomary_Wachsmuth_Potthast_2021, title={Generating Informative Conclusions for Argumentative Texts}, booktitle={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}, author={Syed, Shahbaz and Al-Khatib, Khalid and Alshomary, Milad and Wachsmuth, Henning and Potthast, Martin}, year={2021}, pages={3482–3493} }","ama":"Syed S, Al-Khatib K, Alshomary M, Wachsmuth H, Potthast M. Generating Informative Conclusions for Argumentative Texts. In: <i>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</i>. ; 2021:3482-3493.","mla":"Syed, Shahbaz, et al. “Generating Informative Conclusions for Argumentative Texts.” <i>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</i>, 2021, pp. 3482–93.","short":"S. Syed, K. Al-Khatib, M. Alshomary, H. Wachsmuth, M. Potthast, in: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021): Findings, 2021, pp. 3482–3493.","chicago":"Syed, Shahbaz, Khalid Al-Khatib, Milad Alshomary, Henning Wachsmuth, and Martin Potthast. “Generating Informative Conclusions for Argumentative Texts.” In <i>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</i>, 3482–93, 2021.","ieee":"S. Syed, K. Al-Khatib, M. Alshomary, H. Wachsmuth, and M. Potthast, “Generating Informative Conclusions for Argumentative Texts,” in <i>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</i>, 2021, pp. 3482–3493.","apa":"Syed, S., Al-Khatib, K., Alshomary, M., Wachsmuth, H., &#38; Potthast, M. (2021). Generating Informative Conclusions for Argumentative Texts. <i>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</i>, 3482–3493."},"type":"conference","oa":"1","department":[{"_id":"600"}],"date_created":"2021-05-11T23:18:14Z"},{"date_updated":"2022-01-06T06:55:28Z","author":[{"full_name":"Barrow, Joe","last_name":"Barrow","first_name":"Joe"},{"first_name":"Rajiv","last_name":"Jain","full_name":"Jain, Rajiv"},{"first_name":"Nedim","last_name":"Lipka","full_name":"Lipka, Nedim"},{"last_name":"Dernoncourt","first_name":"Franck","full_name":"Dernoncourt, Franck"},{"first_name":"Vlad","last_name":"Morariu","full_name":"Morariu, Vlad"},{"last_name":"Manjunatha","first_name":"Varun","full_name":"Manjunatha, Varun"},{"first_name":"Douglas","last_name":"Oard","full_name":"Oard, Douglas"},{"first_name":"Philip","last_name":"Resnik","full_name":"Resnik, Philip"},{"full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning","id":"3900"}],"title":"Syntopical Graphs for Computational Argumentation Tasks","year":"2021","status":"public","user_id":"82920","_id":"22159","language":[{"iso":"eng"}],"page":"1583-1595","main_file_link":[{"open_access":"1","url":"https://aclanthology.org/2021.acl-long.126.pdf"}],"citation":{"ama":"Barrow J, Jain R, Lipka N, et al. Syntopical Graphs for Computational Argumentation Tasks. In: <i>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)</i>. ; 2021:1583-1595.","bibtex":"@inproceedings{Barrow_Jain_Lipka_Dernoncourt_Morariu_Manjunatha_Oard_Resnik_Wachsmuth_2021, title={Syntopical Graphs for Computational Argumentation Tasks}, booktitle={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)}, author={Barrow, Joe and Jain, Rajiv and Lipka, Nedim and Dernoncourt, Franck and Morariu, Vlad and Manjunatha, Varun and Oard, Douglas and Resnik, Philip and Wachsmuth, Henning}, year={2021}, pages={1583–1595} }","mla":"Barrow, Joe, et al. “Syntopical Graphs for Computational Argumentation Tasks.” <i>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)</i>, 2021, pp. 1583–95.","short":"J. Barrow, R. Jain, N. Lipka, F. Dernoncourt, V. Morariu, V. Manjunatha, D. Oard, P. Resnik, 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), 2021, pp. 1583–1595.","chicago":"Barrow, Joe, Rajiv Jain, Nedim Lipka, Franck Dernoncourt, Vlad Morariu, Varun Manjunatha, Douglas Oard, Philip Resnik, and Henning Wachsmuth. “Syntopical Graphs for Computational Argumentation Tasks.” In <i>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)</i>, 1583–95, 2021.","apa":"Barrow, J., Jain, R., Lipka, N., Dernoncourt, F., Morariu, V., Manjunatha, V., Oard, D., Resnik, P., &#38; Wachsmuth, H. (2021). Syntopical Graphs for Computational Argumentation Tasks. <i>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)</i>, 1583–1595.","ieee":"J. Barrow <i>et al.</i>, “Syntopical Graphs for Computational Argumentation Tasks,” in <i>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)</i>, 2021, pp. 1583–1595."},"publication":"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)","oa":"1","department":[{"_id":"600"}],"type":"conference","date_created":"2021-05-11T23:20:59Z"},{"user_id":"82920","page":"4744-4754","main_file_link":[{"url":"https://aclanthology.org/2021.acl-long.366.pdf"}],"language":[{"iso":"eng"}],"_id":"22160","date_updated":"2022-01-06T06:55:28Z","status":"public","title":"Employing Argumentation Knowledge Graphs for Neural Argument Generation","year":"2021","author":[{"full_name":"Al-Khatib, Khalid","last_name":"Al-Khatib","first_name":"Khalid"},{"last_name":"Trautner","first_name":"Lukas","full_name":"Trautner, Lukas"},{"id":"3900","first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning"},{"full_name":"Hou, Yufang","first_name":"Yufang","last_name":"Hou"},{"last_name":"Stein","first_name":"Benno","full_name":"Stein, Benno"}],"type":"conference","department":[{"_id":"600"}],"date_created":"2021-05-11T23:22:36Z","publication":"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)","citation":{"bibtex":"@inproceedings{Al-Khatib_Trautner_Wachsmuth_Hou_Stein_2021, title={Employing Argumentation Knowledge Graphs for Neural Argument Generation}, booktitle={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)}, author={Al-Khatib, Khalid and Trautner, Lukas and Wachsmuth, Henning and Hou, Yufang and Stein, Benno}, year={2021}, pages={4744–4754} }","ama":"Al-Khatib K, Trautner L, Wachsmuth H, Hou Y, Stein B. Employing Argumentation Knowledge Graphs for Neural Argument Generation. In: <i>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)</i>. ; 2021:4744-4754.","mla":"Al-Khatib, Khalid, et al. “Employing Argumentation Knowledge Graphs for Neural Argument Generation.” <i>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)</i>, 2021, pp. 4744–54.","short":"K. Al-Khatib, L. Trautner, H. Wachsmuth, Y. Hou, B. Stein, 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), 2021, pp. 4744–4754.","chicago":"Al-Khatib, Khalid, Lukas Trautner, Henning Wachsmuth, Yufang Hou, and Benno Stein. “Employing Argumentation Knowledge Graphs for Neural Argument Generation.” In <i>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)</i>, 4744–54, 2021.","ieee":"K. Al-Khatib, L. Trautner, H. Wachsmuth, Y. Hou, and B. Stein, “Employing Argumentation Knowledge Graphs for Neural Argument Generation,” in <i>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)</i>, 2021, pp. 4744–4754.","apa":"Al-Khatib, K., Trautner, L., Wachsmuth, H., Hou, Y., &#38; Stein, B. (2021). Employing Argumentation Knowledge Graphs for Neural Argument Generation. <i>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)</i>, 4744–4754."}},{"date_updated":"2022-01-06T06:55:33Z","author":[{"full_name":"Kiesel, Johannes","first_name":"Johannes","last_name":"Kiesel"},{"full_name":"Spina, Damiano","first_name":"Damiano","last_name":"Spina"},{"id":"3900","first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning"},{"full_name":"Stein, Benno","last_name":"Stein","first_name":"Benno"}],"title":"The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases","status":"public","year":"2021","user_id":"82920","_id":"22448","language":[{"iso":"eng"}],"page":"1-5","main_file_link":[{"url":"https://dl.acm.org/doi/fullHtml/10.1145/3469595.3469615"}],"citation":{"apa":"Kiesel, J., Spina, D., Wachsmuth, H., &#38; Stein, B. (2021). The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases. <i>Proceedings of the 2021 Conversational User Interfaces Conference</i>, 1–5.","ieee":"J. Kiesel, D. Spina, H. Wachsmuth, and B. Stein, “The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases,” in <i>Proceedings of the 2021 Conversational User Interfaces Conference</i>, 2021, pp. 1–5.","short":"J. Kiesel, D. Spina, H. Wachsmuth, B. Stein, in: Proceedings of the 2021 Conversational User Interfaces Conference, 2021, pp. 1–5.","chicago":"Kiesel, Johannes, Damiano Spina, Henning Wachsmuth, and Benno Stein. “The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases.” In <i>Proceedings of the 2021 Conversational User Interfaces Conference</i>, 1–5, 2021.","mla":"Kiesel, Johannes, et al. “The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases.” <i>Proceedings of the 2021 Conversational User Interfaces Conference</i>, 2021, pp. 1–5.","ama":"Kiesel J, Spina D, Wachsmuth H, Stein B. The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases. In: <i>Proceedings of the 2021 Conversational User Interfaces Conference</i>. ; 2021:1-5.","bibtex":"@inproceedings{Kiesel_Spina_Wachsmuth_Stein_2021, title={The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases}, booktitle={Proceedings of the 2021 Conversational User Interfaces Conference}, author={Kiesel, Johannes and Spina, Damiano and Wachsmuth, Henning and Stein, Benno}, year={2021}, pages={1–5} }"},"publication":"Proceedings of the 2021 Conversational User Interfaces Conference","department":[{"_id":"600"}],"type":"conference","date_created":"2021-06-15T13:51:36Z"},{"volume":2,"user_id":"82920","language":[{"iso":"eng"}],"_id":"22449","main_file_link":[{"url":"https://www.sciencedirect.com/science/article/pii/S2666389921000799"}],"intvolume":"         2","date_updated":"2022-01-06T06:55:33Z","author":[{"full_name":"Alshomary, Milad","last_name":"Alshomary","first_name":"Milad","id":"73059"},{"id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth"}],"status":"public","year":"2021","title":"Toward Audience-aware Argument Generation","type":"journal_article","date_created":"2021-06-15T13:53:52Z","citation":{"bibtex":"@article{Alshomary_Wachsmuth_2021, title={Toward Audience-aware Argument Generation}, volume={2}, number={6}, journal={Patterns}, author={Alshomary, Milad and Wachsmuth, Henning}, year={2021} }","ama":"Alshomary M, Wachsmuth H. Toward Audience-aware Argument Generation. <i>Patterns</i>. 2021;2(6).","mla":"Alshomary, Milad, and Henning Wachsmuth. “Toward Audience-Aware Argument Generation.” <i>Patterns</i>, vol. 2, no. 6, 2021.","chicago":"Alshomary, Milad, and Henning Wachsmuth. “Toward Audience-Aware Argument Generation.” <i>Patterns</i> 2, no. 6 (2021).","short":"M. Alshomary, H. Wachsmuth, Patterns 2 (2021).","ieee":"M. Alshomary and H. Wachsmuth, “Toward Audience-aware Argument Generation,” <i>Patterns</i>, vol. 2, no. 6, 2021.","apa":"Alshomary, M., &#38; Wachsmuth, H. (2021). Toward Audience-aware Argument Generation. <i>Patterns</i>, <i>2</i>(6)."},"publication":"Patterns","issue":"6"},{"page":"184 - 189","main_file_link":[{"url":"https://aclanthology.org/2021.argmining-1.19.pdf"}],"language":[{"iso":"eng"}],"_id":"25297","user_id":"82920","year":"2021","status":"public","title":"Key Point Analysis via Contrastive Learning and Extractive Argument Summarization","author":[{"last_name":"Alshomary","first_name":"Milad","full_name":"Alshomary, Milad","id":"73059"},{"id":"52174","full_name":"Gurcke, Timon","first_name":"Timon","last_name":"Gurcke"},{"full_name":"Syed, Shahbaz","first_name":"Shahbaz","last_name":"Syed"},{"first_name":"Philipp","last_name":"Heinisch","full_name":"Heinisch, Philipp"},{"id":"84035","first_name":"Maximilian","last_name":"Spliethöver","orcid":"0000-0003-4364-1409","full_name":"Spliethöver, Maximilian"},{"full_name":"Cimiano, Philipp","first_name":"Philipp","last_name":"Cimiano"},{"full_name":"Potthast, Martin","last_name":"Potthast","first_name":"Martin"},{"last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900"}],"date_updated":"2022-03-08T12:47:33Z","date_created":"2021-10-04T12:40:02Z","type":"conference","department":[{"_id":"600"}],"publication":"Proceedings of the 8th Workshop on Argument Mining","citation":{"bibtex":"@inproceedings{Alshomary_Gurcke_Syed_Heinisch_Spliethöver_Cimiano_Potthast_Wachsmuth_2021, title={Key Point Analysis via Contrastive Learning and Extractive Argument Summarization}, booktitle={Proceedings of the 8th Workshop on Argument Mining}, author={Alshomary, Milad and Gurcke, Timon and Syed, Shahbaz and Heinisch, Philipp and Spliethöver, Maximilian and Cimiano, Philipp and Potthast, Martin and Wachsmuth, Henning}, year={2021}, pages={184–189} }","ama":"Alshomary M, Gurcke T, Syed S, et al. Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. In: <i>Proceedings of the 8th Workshop on Argument Mining</i>. ; 2021:184-189.","mla":"Alshomary, Milad, et al. “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization.” <i>Proceedings of the 8th Workshop on Argument Mining</i>, 2021, pp. 184–89.","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.","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 <i>Proceedings of the 8th Workshop on Argument Mining</i>, 184–89, 2021.","ieee":"M. Alshomary <i>et al.</i>, “Key Point Analysis via Contrastive Learning and Extractive Argument Summarization,” in <i>Proceedings of the 8th Workshop on Argument Mining</i>, 2021, pp. 184–189.","apa":"Alshomary, M., Gurcke, T., Syed, S., Heinisch, P., Spliethöver, M., Cimiano, P., Potthast, M., &#38; Wachsmuth, H. (2021). Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. <i>Proceedings of the 8th Workshop on Argument Mining</i>, 184–189."}},{"citation":{"mla":"Nouri, Zahra, et al. “IClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing.” <i>Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021</i>, 2021.","ama":"Nouri Z, Prakash N, Gadiraju U, Wachsmuth H. iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing. In: <i>Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021</i>. ; 2021.","bibtex":"@inproceedings{Nouri_Prakash_Gadiraju_Wachsmuth_2021, title={iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing}, booktitle={Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021}, author={Nouri, Zahra and Prakash, Nikhil and Gadiraju, Ujwal and Wachsmuth, Henning}, year={2021} }","apa":"Nouri, Z., Prakash, N., Gadiraju, U., &#38; Wachsmuth, H. (2021). iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing. <i>Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021</i>.","ieee":"Z. Nouri, N. Prakash, U. Gadiraju, and H. Wachsmuth, “iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing,” 2021.","short":"Z. Nouri, N. Prakash, U. Gadiraju, H. Wachsmuth, in: Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021, 2021.","chicago":"Nouri, Zahra, Nikhil Prakash, Ujwal Gadiraju, and Henning Wachsmuth. “IClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing.” In <i>Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021</i>, 2021."},"publication":"Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021","date_created":"2021-10-04T12:35:50Z","department":[{"_id":"600"}],"type":"conference","author":[{"id":"35802","first_name":"Zahra","last_name":"Nouri","full_name":"Nouri, Zahra"},{"first_name":"Nikhil","last_name":"Prakash","full_name":"Prakash, Nikhil"},{"last_name":"Gadiraju","first_name":"Ujwal","full_name":"Gadiraju, Ujwal"},{"last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900"}],"year":"2021","title":"iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing","status":"public","date_updated":"2022-03-08T12:46:44Z","_id":"25294","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://www.humancomputation.com/assets/wips_demos/HCOMP_2021_paper_111.pdf"}],"user_id":"82920"},{"citation":{"apa":"Gurcke, T., Alshomary, M., &#38; Wachsmuth, H. (2021). Assessing the Sufficiency of Arguments through Conclusion Generation. <i>Proceedings of the 8th Workshop on Argument Mining</i>, 67–77.","ieee":"T. Gurcke, M. Alshomary, and H. Wachsmuth, “Assessing the Sufficiency of Arguments through Conclusion Generation,” in <i>Proceedings of the 8th Workshop on Argument Mining</i>, 2021, pp. 67–77.","short":"T. Gurcke, M. Alshomary, H. Wachsmuth, 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 <i>Proceedings of the 8th Workshop on Argument Mining</i>, 67–77, 2021.","mla":"Gurcke, Timon, et al. “Assessing the Sufficiency of Arguments through Conclusion Generation.” <i>Proceedings of the 8th Workshop on Argument Mining</i>, 2021, pp. 67–77.","ama":"Gurcke T, Alshomary M, Wachsmuth H. Assessing the Sufficiency of Arguments through Conclusion Generation. In: <i>Proceedings of the 8th Workshop on Argument Mining</i>. ; 2021:67-77.","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} }"},"publication":"Proceedings of the 8th Workshop on Argument Mining","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"date_created":"2021-10-04T12:38:02Z","department":[{"_id":"600"}],"type":"conference","author":[{"full_name":"Gurcke, Timon","last_name":"Gurcke","first_name":"Timon","id":"52174"},{"last_name":"Alshomary","first_name":"Milad","full_name":"Alshomary, Milad","id":"73059"},{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900"}],"status":"public","year":"2021","title":"Assessing the Sufficiency of Arguments through Conclusion Generation","date_updated":"2022-05-06T08:48:51Z","_id":"25295","language":[{"iso":"eng"}],"page":"67 - 77","main_file_link":[{"url":"https://aclanthology.org/2021.argmining-1.7.pdf"}],"user_id":"52174"},{"language":[{"iso":"eng"}],"_id":"23709","main_file_link":[{"url":"https://aclanthology.org/2021.findings-emnlp.228.pdf"}],"page":"2683 - 2693","user_id":"82920","author":[{"first_name":"Wei-Fan","last_name":"Chen","full_name":"Chen, Wei-Fan","id":"82920"},{"full_name":"Al Khatib, Khalid","last_name":"Al Khatib","first_name":"Khalid"},{"full_name":"Stein, Benno","first_name":"Benno","last_name":"Stein"},{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900"}],"year":"2021","status":"public","title":"Controlled Neural Sentence-Level Reframing of News Articles","date_updated":"2022-05-09T15:00:09Z","date_created":"2021-09-02T20:09:20Z","department":[{"_id":"600"}],"type":"conference","citation":{"apa":"Chen, W.-F., Al Khatib, K., Stein, B., &#38; Wachsmuth, H. (2021). Controlled Neural Sentence-Level Reframing of News Articles. <i>Findings of the Association for Computational Linguistics: EMNLP 2021</i>, 2683–2693.","ieee":"W.-F. Chen, K. Al Khatib, B. Stein, and H. Wachsmuth, “Controlled Neural Sentence-Level Reframing of News Articles,” in <i>Findings of the Association for Computational Linguistics: EMNLP 2021</i>, 2021, pp. 2683–2693.","chicago":"Chen, Wei-Fan, Khalid Al Khatib, Benno Stein, and Henning Wachsmuth. “Controlled Neural Sentence-Level Reframing of News Articles.” In <i>Findings of the Association for Computational Linguistics: EMNLP 2021</i>, 2683–93, 2021.","short":"W.-F. Chen, K. Al Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.","mla":"Chen, Wei-Fan, et al. “Controlled Neural Sentence-Level Reframing of News Articles.” <i>Findings of the Association for Computational Linguistics: EMNLP 2021</i>, 2021, pp. 2683–93.","ama":"Chen W-F, Al Khatib K, Stein B, Wachsmuth H. Controlled Neural Sentence-Level Reframing of News Articles. In: <i>Findings of the Association for Computational Linguistics: EMNLP 2021</i>. ; 2021:2683-2693.","bibtex":"@inproceedings{Chen_Al Khatib_Stein_Wachsmuth_2021, title={Controlled Neural Sentence-Level Reframing of News Articles}, booktitle={Findings of the Association for Computational Linguistics: EMNLP 2021}, author={Chen, Wei-Fan and Al Khatib, Khalid and Stein, Benno and Wachsmuth, Henning}, year={2021}, pages={2683–2693} }"},"publication":"Findings of the Association for Computational Linguistics: EMNLP 2021","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"name":"SFB 901 - B1: SFB 901 - Subproject B1","_id":"9"}]},{"type":"conference","department":[{"_id":"600"}],"date_created":"2021-05-26T07:06:18Z","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"name":"SFB 901 - B1: SFB 901 - Subproject B1","_id":"9"}],"publication":"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)","citation":{"ieee":"M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises,” in <i>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)</i>, Online, 2021, pp. 1816–1827, doi: <a href=\"https://doi.org/10.18653/v1/2021.findings-acl.159\">10.18653/v1/2021.findings-acl.159</a>.","mla":"Alshomary, Milad, et al. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.” <i>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)</i>, Association for Computational Linguistics, 2021, pp. 1816–1827, doi:<a href=\"https://doi.org/10.18653/v1/2021.findings-acl.159\">10.18653/v1/2021.findings-acl.159</a>.","apa":"Alshomary, M., Syed, S., Potthast, M., &#38; Wachsmuth, H. (2021). Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. <i>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)</i>, 1816–1827. <a href=\"https://doi.org/10.18653/v1/2021.findings-acl.159\">https://doi.org/10.18653/v1/2021.findings-acl.159</a>","bibtex":"@inproceedings{Alshomary_Syed_Potthast_Wachsmuth_2021, series={Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021}, title={Argument Undermining: Counter-Argument Generation by Attacking Weak Premises}, DOI={<a href=\"https://doi.org/10.18653/v1/2021.findings-acl.159\">10.18653/v1/2021.findings-acl.159</a>}, booktitle={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)}, publisher={Association for Computational Linguistics}, author={Alshomary, Milad and Syed, Shahbaz and Potthast, Martin and Wachsmuth, Henning}, year={2021}, pages={1816–1827}, collection={Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021} }","chicago":"Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.” In <i>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)</i>, 1816–1827. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, 2021. <a href=\"https://doi.org/10.18653/v1/2021.findings-acl.159\">https://doi.org/10.18653/v1/2021.findings-acl.159</a>.","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.","ama":"Alshomary M, Syed S, Potthast M, Wachsmuth H. Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. In: <i>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)</i>. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics; 2021:1816–1827. doi:<a href=\"https://doi.org/10.18653/v1/2021.findings-acl.159\">10.18653/v1/2021.findings-acl.159</a>"},"user_id":"82920","doi":"10.18653/v1/2021.findings-acl.159","page":"1816–1827","main_file_link":[{"url":"https://aclanthology.org/2021.findings-acl.159.pdf"}],"_id":"22229","series_title":"Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021","publisher":"Association for Computational Linguistics","language":[{"iso":"eng"}],"date_updated":"2022-05-09T15:06:36Z","title":"Argument Undermining: Counter-Argument Generation by Attacking Weak Premises","status":"public","year":"2021","author":[{"first_name":"Milad","last_name":"Alshomary","full_name":"Alshomary, Milad","id":"73059"},{"last_name":"Syed","first_name":"Shahbaz","full_name":"Syed, Shahbaz"},{"full_name":"Potthast, Martin","last_name":"Potthast","first_name":"Martin"},{"full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth","id":"3900"}],"conference":{"location":"Online","name":"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)"}},{"intvolume":"        13","article_type":"original","date_updated":"2023-12-05T10:15:02Z","publication_status":"published","author":[{"id":"50352","full_name":"Rohlfing, Katharina J.","last_name":"Rohlfing","first_name":"Katharina J."},{"first_name":"Philipp","last_name":"Cimiano","full_name":"Cimiano, Philipp"},{"id":"451","full_name":"Scharlau, Ingrid","orcid":"0000-0003-2364-9489","last_name":"Scharlau","first_name":"Ingrid"},{"full_name":"Matzner, Tobias","first_name":"Tobias","last_name":"Matzner","id":"65695"},{"id":"27152","full_name":"Buhl, Heike M.","last_name":"Buhl","first_name":"Heike M."},{"full_name":"Buschmeier, Hendrik","first_name":"Hendrik","last_name":"Buschmeier"},{"first_name":"Elena","last_name":"Esposito","full_name":"Esposito, Elena"},{"id":"57578","first_name":"Angela","last_name":"Grimminger","full_name":"Grimminger, Angela"},{"full_name":"Hammer, Barbara","first_name":"Barbara","last_name":"Hammer"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold","last_name":"Haeb-Umbach"},{"id":"68836","first_name":"Ilona","last_name":"Horwath","full_name":"Horwath, Ilona"},{"id":"48129","last_name":"Hüllermeier","first_name":"Eyke","full_name":"Hüllermeier, Eyke"},{"first_name":"Friederike","last_name":"Kern","full_name":"Kern, Friederike"},{"last_name":"Kopp","first_name":"Stefan","full_name":"Kopp, Stefan"},{"id":"72497","first_name":"Kirsten","last_name":"Thommes","full_name":"Thommes, Kirsten"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716"},{"id":"60311","first_name":"Carsten","last_name":"Schulte","full_name":"Schulte, Carsten"},{"id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth"},{"last_name":"Wagner","first_name":"Petra","full_name":"Wagner, Petra"},{"full_name":"Wrede, Britta","first_name":"Britta","last_name":"Wrede"}],"publication_identifier":{"issn":["2379-8920","2379-8939"]},"year":"2021","title":"Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems","doi":"10.1109/tcds.2020.3044366","language":[{"iso":"eng"}],"abstract":[{"text":"One objective of current research in explainable intelligent systems is to implement social aspects in order to increase the relevance of explanations. 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"}],"issue":"3","publication":"IEEE Transactions on Cognitive and Developmental Systems","department":[{"_id":"603"},{"_id":"749"},{"_id":"424"},{"_id":"67"},{"_id":"574"},{"_id":"184"},{"_id":"757"},{"_id":"54"},{"_id":"178"}],"keyword":["Explainability","process ofexplaining andunderstanding","explainable artificial systems"],"type":"journal_article","date_created":"2021-09-14T20:52:57Z","file":[{"creator":"haebumb","date_created":"2023-11-20T16:33:51Z","relation":"main_file","date_updated":"2023-11-20T16:33:51Z","file_name":"2020-12-01_explainability_final_version.pdf","access_level":"open_access","file_size":626217,"file_id":"49081","content_type":"application/pdf"}],"has_accepted_license":"1","status":"public","volume":13,"ddc":["300"],"user_id":"42933","_id":"24456","page":"717-728","project":[{"grant_number":"438445824","_id":"109","name":"TRR 318: TRR 318 - Erklärbarkeit konstruieren"}],"quality_controlled":"1","citation":{"ieee":"K. J. Rohlfing <i>et al.</i>, “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems,” <i>IEEE Transactions on Cognitive and Developmental Systems</i>, vol. 13, no. 3, pp. 717–728, 2021, doi: <a href=\"https://doi.org/10.1109/tcds.2020.3044366\">10.1109/tcds.2020.3044366</a>.","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., &#38; Wrede, B. (2021). Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. <i>IEEE Transactions on Cognitive and Developmental Systems</i>, <i>13</i>(3), 717–728. <a href=\"https://doi.org/10.1109/tcds.2020.3044366\">https://doi.org/10.1109/tcds.2020.3044366</a>","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.” <i>IEEE Transactions on Cognitive and Developmental Systems</i> 13, no. 3 (2021): 717–28. <a href=\"https://doi.org/10.1109/tcds.2020.3044366\">https://doi.org/10.1109/tcds.2020.3044366</a>.","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. Wrede, IEEE Transactions on Cognitive and Developmental Systems 13 (2021) 717–728.","mla":"Rohlfing, Katharina J., et al. “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems.” <i>IEEE Transactions on Cognitive and Developmental Systems</i>, vol. 13, no. 3, 2021, pp. 717–28, doi:<a href=\"https://doi.org/10.1109/tcds.2020.3044366\">10.1109/tcds.2020.3044366</a>.","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={<a href=\"https://doi.org/10.1109/tcds.2020.3044366\">10.1109/tcds.2020.3044366</a>}, 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} }","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. <i>IEEE Transactions on Cognitive and Developmental Systems</i>. 2021;13(3):717-728. doi:<a href=\"https://doi.org/10.1109/tcds.2020.3044366\">10.1109/tcds.2020.3044366</a>"},"file_date_updated":"2023-11-20T16:33:51Z","oa":"1"},{"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"}],"abstract":[{"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.","lang":"eng"}],"citation":{"chicago":"Alshomary, Milad, Wei-Fan Chen, Timon Gurcke, and Henning Wachsmuth. “Belief-Based Generation of Argumentative Claims.” In <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>, 224–33. Association for Computational Linguistics, 2021. <a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">https://doi.org/10.18653/v1/2021.eacl-main.17</a>.","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. 224–233.","ieee":"M. Alshomary, W.-F. Chen, T. Gurcke, and H. Wachsmuth, “Belief-based Generation of Argumentative Claims,” in <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>, Online, 2021, pp. 224–233, doi: <a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">10.18653/v1/2021.eacl-main.17</a>.","apa":"Alshomary, M., Chen, W.-F., Gurcke, T., &#38; Wachsmuth, H. (2021). Belief-based Generation of Argumentative Claims. <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>, 224–233. <a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">https://doi.org/10.18653/v1/2021.eacl-main.17</a>","bibtex":"@inproceedings{Alshomary_Chen_Gurcke_Wachsmuth_2021, title={Belief-based Generation of Argumentative Claims}, DOI={<a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">10.18653/v1/2021.eacl-main.17</a>}, 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={224–233} }","ama":"Alshomary M, Chen W-F, Gurcke T, Wachsmuth H. Belief-based Generation of Argumentative Claims. In: <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>. Association for Computational Linguistics; 2021:224-233. doi:<a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">10.18653/v1/2021.eacl-main.17</a>","mla":"Alshomary, Milad, et al. “Belief-Based Generation of Argumentative Claims.” <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>, Association for Computational Linguistics, 2021, pp. 224–33, doi:<a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">10.18653/v1/2021.eacl-main.17</a>."},"publication":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume","department":[{"_id":"600"}],"type":"conference","date_created":"2021-02-05T08:00:07Z","date_updated":"2026-02-23T16:06:41Z","conference":{"location":"Online","name":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume"},"author":[{"id":"73059","last_name":"Alshomary","first_name":"Milad","full_name":"Alshomary, Milad"},{"id":"82920","first_name":"Wei-Fan","last_name":"Chen","full_name":"Chen, Wei-Fan"},{"full_name":"Gurcke, Timon","first_name":"Timon","last_name":"Gurcke","id":"52174"},{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"}],"year":"2021","status":"public","title":"Belief-based Generation of Argumentative Claims","doi":"10.18653/v1/2021.eacl-main.17","user_id":"14972","publisher":"Association for Computational Linguistics","_id":"21178","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://www.aclweb.org/anthology/2021.eacl-main.17"}],"page":"224-233"},{"file_date_updated":"2020-11-10T14:25:56Z","publication":"Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics","citation":{"ieee":"Z. Nouri, H. Wachsmuth, and G. Engels, “Mining Crowdsourcing Problems from Discussion Forums of Workers,” in <i>Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics</i>, Barcelona, Spain, pp. 6264–6276.","apa":"Nouri, Z., Wachsmuth, H., &#38; Engels, G. (n.d.). Mining Crowdsourcing Problems from Discussion Forums of Workers. In <i>Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics</i> (pp. 6264–6276). Barcelona, Spain.","chicago":"Nouri, Zahra, Henning Wachsmuth, and Gregor Engels. “Mining Crowdsourcing Problems from Discussion Forums of Workers.” In <i>Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics</i>, 6264–76, n.d.","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.” <i>Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics</i>, 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} }","ama":"Nouri Z, Wachsmuth H, Engels G. Mining Crowdsourcing Problems from Discussion Forums of Workers. In: <i>Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics</i>. ; :6264-6276."},"type":"conference","department":[{"_id":"600"}],"file":[{"date_created":"2020-11-10T14:25:56Z","creator":"znouri","content_type":"application/pdf","success":1,"file_id":"20334","access_level":"closed","file_size":610246,"file_name":"Mining Crowdsourcing Problems from Discussion Forums of Workers.pdf","date_updated":"2020-11-10T14:25:56Z","relation":"main_file"}],"date_created":"2020-10-18T12:21:34Z","publication_status":"accepted","date_updated":"2022-01-06T06:54:19Z","has_accepted_license":"1","status":"public","title":"Mining Crowdsourcing Problems from Discussion Forums of Workers","year":"2020","author":[{"id":"35802","full_name":"Nouri, Zahra","first_name":"Zahra","last_name":"Nouri"},{"last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900"},{"id":"107","full_name":"Engels, Gregor","first_name":"Gregor","last_name":"Engels"}],"conference":{"location":"Barcelona, Spain","start_date":"2020-12-08","name":"The 28th International Conference on Computational Linguistics","end_date":"2020-12-13"},"user_id":"82920","ddc":["000"],"page":"6264-6276","_id":"20116","language":[{"iso":"eng"}]},{"user_id":"82920","page":"29-40","main_file_link":[{"url":"https://www.aclweb.org/anthology/2020.peoples-1.4.pdf"}],"_id":"20122","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:54:20Z","year":"2020","status":"public","title":"Persuasiveness of News Editorials depending on Ideology and Personality","author":[{"last_name":"El Baff","first_name":"Roxanne","full_name":"El Baff, Roxanne"},{"first_name":"Khalid","last_name":"Al-Khatib","full_name":"Al-Khatib, Khalid"},{"full_name":"Stein, Benno","last_name":"Stein","first_name":"Benno"},{"full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth","id":"3900"}],"type":"conference","department":[{"_id":"600"}],"date_created":"2020-10-19T08:49:05Z","publication":"Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media (PEOPLES 2020)","citation":{"mla":"El Baff, Roxanne, et al. “Persuasiveness of News Editorials Depending on Ideology and Personality.” <i>Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020)</i>, 2020, pp. 29–40.","ama":"El Baff R, Al-Khatib K, Stein B, Wachsmuth H. Persuasiveness of News Editorials depending on Ideology and Personality. In: <i>Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020)</i>. ; 2020:29-40.","bibtex":"@inproceedings{El Baff_Al-Khatib_Stein_Wachsmuth_2020, title={Persuasiveness of News Editorials depending on Ideology and Personality}, booktitle={Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020)}, author={El Baff, Roxanne and Al-Khatib, Khalid and Stein, Benno and Wachsmuth, Henning}, year={2020}, pages={29–40} }","apa":"El Baff, R., Al-Khatib, K., Stein, B., &#38; Wachsmuth, H. (2020). Persuasiveness of News Editorials depending on Ideology and Personality. In <i>Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020)</i> (pp. 29–40).","ieee":"R. El Baff, K. Al-Khatib, B. Stein, and H. Wachsmuth, “Persuasiveness of News Editorials depending on Ideology and Personality,” in <i>Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020)</i>, 2020, pp. 29–40.","short":"R. El Baff, K. Al-Khatib, B. Stein, H. Wachsmuth, in: Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020), 2020, pp. 29–40.","chicago":"El Baff, Roxanne, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. “Persuasiveness of News Editorials Depending on Ideology and Personality.” In <i>Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020)</i>, 29–40, 2020."}},{"user_id":"84035","_id":"20139","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://www.aclweb.org/anthology/2020.argmining-1.9","open_access":"1"}],"page":"76-87","date_updated":"2022-01-06T06:54:20Z","author":[{"first_name":"Maximilian","last_name":"Spliethöver","orcid":"0000-0003-4364-1409","full_name":"Spliethöver, Maximilian","id":"84035"},{"id":"3900","first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning"}],"status":"public","year":"2020","title":"Argument from Old Man's View: Assessing Social Bias in Argumentation","department":[{"_id":"600"}],"oa":"1","type":"conference","date_created":"2020-10-20T13:03:08Z","citation":{"mla":"Spliethöver, Maximilian, and Henning Wachsmuth. “Argument from Old Man’s View: Assessing Social Bias in Argumentation.” <i>Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)</i>, 2020, pp. 76–87.","bibtex":"@inproceedings{Spliethöver_Wachsmuth_2020, title={Argument from Old Man’s View: Assessing Social Bias in Argumentation}, booktitle={Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)}, author={Spliethöver, Maximilian and Wachsmuth, Henning}, year={2020}, pages={76–87} }","ama":"Spliethöver M, Wachsmuth H. Argument from Old Man’s View: Assessing Social Bias in Argumentation. In: <i>Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)</i>. ; 2020:76-87.","ieee":"M. Spliethöver and H. Wachsmuth, “Argument from Old Man’s View: Assessing Social Bias in Argumentation,” in <i>Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)</i>, 2020, pp. 76–87.","apa":"Spliethöver, M., &#38; Wachsmuth, H. (2020). Argument from Old Man’s View: Assessing Social Bias in Argumentation. In <i>Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)</i> (pp. 76–87).","chicago":"Spliethöver, Maximilian, and Henning Wachsmuth. “Argument from Old Man’s View: Assessing Social Bias in Argumentation.” In <i>Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)</i>, 76–87, 2020.","short":"M. Spliethöver, H. Wachsmuth, in: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 76–87."},"publication":"Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)"},{"main_file_link":[{"url":"https://www.aclweb.org/anthology/2020.argmining-1.3.pdf"}],"page":"19-29","_id":"20140","language":[{"iso":"eng"}],"user_id":"82920","year":"2020","title":"Semi-Supervised Cleansing of Web Argument Corpora","status":"public","author":[{"full_name":"Dorsch, Jonas","last_name":"Dorsch","first_name":"Jonas"},{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"}],"date_updated":"2022-01-06T06:54:20Z","date_created":"2020-10-20T13:04:15Z","type":"conference","department":[{"_id":"600"}],"publication":"Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)","citation":{"ieee":"J. Dorsch and H. Wachsmuth, “Semi-Supervised Cleansing of Web Argument Corpora,” in <i>Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)</i>, 2020, pp. 19–29.","apa":"Dorsch, J., &#38; Wachsmuth, H. (2020). Semi-Supervised Cleansing of Web Argument Corpora. In <i>Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)</i> (pp. 19–29).","short":"J. Dorsch, H. Wachsmuth, in: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 2020, pp. 19–29.","chicago":"Dorsch, Jonas, and Henning Wachsmuth. “Semi-Supervised Cleansing of Web Argument Corpora.” In <i>Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)</i>, 19–29, 2020.","mla":"Dorsch, Jonas, and Henning Wachsmuth. “Semi-Supervised Cleansing of Web Argument Corpora.” <i>Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)</i>, 2020, pp. 19–29.","bibtex":"@inproceedings{Dorsch_Wachsmuth_2020, title={Semi-Supervised Cleansing of Web Argument Corpora}, booktitle={Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)}, author={Dorsch, Jonas and Wachsmuth, Henning}, year={2020}, pages={19–29} }","ama":"Dorsch J, Wachsmuth H. Semi-Supervised Cleansing of Web Argument Corpora. In: <i>Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)</i>. ; 2020:19-29."}}]