[{"publication":"Proceedings of the 43rd annual European Conference on Information Retrieval Research","type":"conference","status":"public","_id":"3774","department":[{"_id":"600"}],"user_id":"82920","language":[{"iso":"eng"}],"year":"2021","page":"384-395","citation":{"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.","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.","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).","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} }","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."},"date_updated":"2022-01-06T06:59:35Z","author":[{"first_name":"Alexander","last_name":"Bondarenko","full_name":"Bondarenko, Alexander"},{"full_name":"Gienapp, Lukas","last_name":"Gienapp","first_name":"Lukas"},{"first_name":"Maik","full_name":"Fröbe, Maik","last_name":"Fröbe"},{"full_name":"Beloucif, Meriem","last_name":"Beloucif","first_name":"Meriem"},{"first_name":"Yamen","last_name":"Ajjour","full_name":"Ajjour, Yamen"},{"last_name":"Panchenko","full_name":"Panchenko, Alexander","first_name":"Alexander"},{"full_name":"Biemann, Chris","last_name":"Biemann","first_name":"Chris"},{"full_name":"Stein, Benno","last_name":"Stein","first_name":"Benno"},{"first_name":"Henning","last_name":"Wachsmuth","id":"3900","full_name":"Wachsmuth, Henning"},{"full_name":"Potthast, Martin","last_name":"Potthast","first_name":"Martin"},{"first_name":"Matthias","last_name":"Hagen","full_name":"Hagen, Matthias"}],"date_created":"2018-08-02T11:40:53Z","title":"Overview of Touché 2021: Argument Retrieval","main_file_link":[{"url":"https://webis.de/downloads/publications/papers/bondarenko_2021.pdf"}]},{"year":"2021","citation":{"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.","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.","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.","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} }","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.","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.","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."},"page":"165-175","title":"What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing","main_file_link":[{"url":"https://dl.acm.org/doi/pdf/10.1145/3465336.3475109","open_access":"1"}],"date_updated":"2022-01-06T06:55:58Z","oa":"1","author":[{"full_name":"Nouri, Zahra","id":"35802","last_name":"Nouri","first_name":"Zahra"},{"last_name":"Gadiraju","full_name":"Gadiraju, Ujwal","first_name":"Ujwal"},{"last_name":"Engels","id":"107","full_name":"Engels, Gregor","first_name":"Gregor"},{"last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900","first_name":"Henning"}],"date_created":"2021-09-02T20:05:52Z","status":"public","type":"conference","publication":"Proceedings of the 32nd ACM Conference on Hypertext and Social Media","language":[{"iso":"eng"}],"_id":"23708","user_id":"82920","department":[{"_id":"600"}]},{"abstract":[{"lang":"eng","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."}],"status":"public","publication":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21","type":"conference","language":[{"iso":"eng"}],"_id":"22156","department":[{"_id":"600"}],"user_id":"82920","year":"2021","page":"552-559","citation":{"short":"M. Spliethöver, H. Wachsmuth, in: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, 2021, pp. 552–559.","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} }","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>.","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>","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>.","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>.","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>"},"quality_controlled":"1","title":"Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models","conference":{"name":"30th International Joint Conference on Artificial Intelligence (IJCAI-21)","start_date":"2021-08-19","end_date":"2021-08-26","location":"Online"},"doi":"10.24963/ijcai.2021/77","main_file_link":[{"open_access":"1","url":"https://www.ijcai.org/proceedings/2021/77"}],"oa":"1","date_updated":"2022-01-06T06:55:28Z","author":[{"id":"84035","full_name":"Spliethöver, Maximilian","orcid":"0000-0003-4364-1409","last_name":"Spliethöver","first_name":"Maximilian"},{"last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900","first_name":"Henning"}],"date_created":"2021-05-11T23:13:26Z"},{"year":"2021","page":"3482-3493","citation":{"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.","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.","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.","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} }","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.","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."},"title":"Generating Informative Conclusions for Argumentative Texts","main_file_link":[{"url":"https://aclanthology.org/2021.findings-acl.306.pdf","open_access":"1"}],"date_updated":"2022-01-06T06:55:28Z","oa":"1","date_created":"2021-05-11T23:18:14Z","author":[{"last_name":"Syed","full_name":"Syed, Shahbaz","first_name":"Shahbaz"},{"last_name":"Al-Khatib","full_name":"Al-Khatib, Khalid","first_name":"Khalid"},{"full_name":"Alshomary, Milad","id":"73059","last_name":"Alshomary","first_name":"Milad"},{"last_name":"Wachsmuth","id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning"},{"last_name":"Potthast","full_name":"Potthast, Martin","first_name":"Martin"}],"status":"public","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","type":"conference","language":[{"iso":"eng"}],"_id":"22158","department":[{"_id":"600"}],"user_id":"82920"},{"year":"2021","citation":{"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.","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.","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.","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.","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.","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."},"page":"1583-1595","oa":"1","date_updated":"2022-01-06T06:55:28Z","author":[{"first_name":"Joe","last_name":"Barrow","full_name":"Barrow, Joe"},{"first_name":"Rajiv","full_name":"Jain, Rajiv","last_name":"Jain"},{"last_name":"Lipka","full_name":"Lipka, Nedim","first_name":"Nedim"},{"first_name":"Franck","full_name":"Dernoncourt, Franck","last_name":"Dernoncourt"},{"first_name":"Vlad","full_name":"Morariu, Vlad","last_name":"Morariu"},{"first_name":"Varun","last_name":"Manjunatha","full_name":"Manjunatha, Varun"},{"last_name":"Oard","full_name":"Oard, Douglas","first_name":"Douglas"},{"last_name":"Resnik","full_name":"Resnik, Philip","first_name":"Philip"},{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900"}],"date_created":"2021-05-11T23:20:59Z","title":"Syntopical Graphs for Computational Argumentation Tasks","main_file_link":[{"open_access":"1","url":"https://aclanthology.org/2021.acl-long.126.pdf"}],"type":"conference","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)","status":"public","_id":"22159","user_id":"82920","department":[{"_id":"600"}],"language":[{"iso":"eng"}]},{"year":"2021","citation":{"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.","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.","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.","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.","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.","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.","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} }"},"page":"4744-4754","date_updated":"2022-01-06T06:55:28Z","date_created":"2021-05-11T23:22:36Z","author":[{"first_name":"Khalid","last_name":"Al-Khatib","full_name":"Al-Khatib, Khalid"},{"first_name":"Lukas","last_name":"Trautner","full_name":"Trautner, Lukas"},{"last_name":"Wachsmuth","id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning"},{"first_name":"Yufang","last_name":"Hou","full_name":"Hou, Yufang"},{"full_name":"Stein, Benno","last_name":"Stein","first_name":"Benno"}],"title":"Employing Argumentation Knowledge Graphs for Neural Argument Generation","main_file_link":[{"url":"https://aclanthology.org/2021.acl-long.366.pdf"}],"type":"conference","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)","status":"public","_id":"22160","user_id":"82920","department":[{"_id":"600"}],"language":[{"iso":"eng"}]},{"_id":"22448","user_id":"82920","department":[{"_id":"600"}],"language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the 2021 Conversational User Interfaces Conference","status":"public","date_updated":"2022-01-06T06:55:33Z","date_created":"2021-06-15T13:51:36Z","author":[{"last_name":"Kiesel","full_name":"Kiesel, Johannes","first_name":"Johannes"},{"first_name":"Damiano","full_name":"Spina, Damiano","last_name":"Spina"},{"last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900","first_name":"Henning"},{"first_name":"Benno","full_name":"Stein, Benno","last_name":"Stein"}],"title":"The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases","main_file_link":[{"url":"https://dl.acm.org/doi/fullHtml/10.1145/3469595.3469615"}],"year":"2021","citation":{"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.","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.","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.","short":"J. Kiesel, D. Spina, H. Wachsmuth, B. Stein, in: Proceedings of the 2021 Conversational User Interfaces Conference, 2021, pp. 1–5.","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.","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} }","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."},"page":"1-5"},{"publication":"Proceedings of the 8th Workshop on Argument Mining","type":"conference","status":"public","department":[{"_id":"600"}],"user_id":"82920","_id":"25297","language":[{"iso":"eng"}],"page":"184 - 189","citation":{"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.","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.","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.","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} }","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."},"year":"2021","date_created":"2021-10-04T12:40:02Z","author":[{"full_name":"Alshomary, Milad","id":"73059","last_name":"Alshomary","first_name":"Milad"},{"last_name":"Gurcke","full_name":"Gurcke, Timon","id":"52174","first_name":"Timon"},{"last_name":"Syed","full_name":"Syed, Shahbaz","first_name":"Shahbaz"},{"last_name":"Heinisch","full_name":"Heinisch, Philipp","first_name":"Philipp"},{"orcid":"0000-0003-4364-1409","last_name":"Spliethöver","id":"84035","full_name":"Spliethöver, Maximilian","first_name":"Maximilian"},{"full_name":"Cimiano, Philipp","last_name":"Cimiano","first_name":"Philipp"},{"full_name":"Potthast, Martin","last_name":"Potthast","first_name":"Martin"},{"first_name":"Henning","last_name":"Wachsmuth","id":"3900","full_name":"Wachsmuth, Henning"}],"date_updated":"2022-03-08T12:47:33Z","main_file_link":[{"url":"https://aclanthology.org/2021.argmining-1.19.pdf"}],"title":"Key Point Analysis via Contrastive Learning and Extractive Argument Summarization"},{"date_updated":"2022-03-08T12:46:44Z","author":[{"first_name":"Zahra","id":"35802","full_name":"Nouri, Zahra","last_name":"Nouri"},{"first_name":"Nikhil","last_name":"Prakash","full_name":"Prakash, Nikhil"},{"first_name":"Ujwal","full_name":"Gadiraju, Ujwal","last_name":"Gadiraju"},{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"}],"date_created":"2021-10-04T12:35:50Z","title":"iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing","main_file_link":[{"url":"https://www.humancomputation.com/assets/wips_demos/HCOMP_2021_paper_111.pdf"}],"year":"2021","citation":{"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.","ieee":"Z. Nouri, N. Prakash, U. Gadiraju, and H. Wachsmuth, “iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing,” 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.","short":"Z. Nouri, N. Prakash, U. Gadiraju, H. Wachsmuth, in: Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021, 2021.","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.","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>."},"_id":"25294","user_id":"82920","department":[{"_id":"600"}],"language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021","status":"public"},{"status":"public","type":"conference","publication":"Proceedings of the 8th Workshop on Argument Mining","language":[{"iso":"eng"}],"user_id":"52174","department":[{"_id":"600"}],"project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"_id":"25295","citation":{"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.","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.","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.","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.","short":"T. Gurcke, M. Alshomary, H. Wachsmuth, in: 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} }","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."},"page":"67 - 77","year":"2021","main_file_link":[{"url":"https://aclanthology.org/2021.argmining-1.7.pdf"}],"title":"Assessing the Sufficiency of Arguments through Conclusion Generation","author":[{"first_name":"Timon","last_name":"Gurcke","full_name":"Gurcke, Timon","id":"52174"},{"first_name":"Milad","last_name":"Alshomary","id":"73059","full_name":"Alshomary, Milad"},{"first_name":"Henning","id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth"}],"date_created":"2021-10-04T12:38:02Z","date_updated":"2022-05-06T08:48:51Z"},{"title":"Controlled Neural Sentence-Level Reframing of News Articles","main_file_link":[{"url":"https://aclanthology.org/2021.findings-emnlp.228.pdf"}],"date_updated":"2022-05-09T15:00:09Z","date_created":"2021-09-02T20:09:20Z","author":[{"first_name":"Wei-Fan","full_name":"Chen, Wei-Fan","id":"82920","last_name":"Chen"},{"first_name":"Khalid","full_name":"Al Khatib, Khalid","last_name":"Al Khatib"},{"full_name":"Stein, Benno","last_name":"Stein","first_name":"Benno"},{"last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900","first_name":"Henning"}],"year":"2021","page":"2683 - 2693","citation":{"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.","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.","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.","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.","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} }","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.","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."},"language":[{"iso":"eng"}],"_id":"23709","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - B1: SFB 901 - Subproject B1"}],"department":[{"_id":"600"}],"user_id":"82920","status":"public","publication":"Findings of the Association for Computational Linguistics: EMNLP 2021","type":"conference"},{"_id":"22229","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - B1: SFB 901 - Subproject B1"}],"department":[{"_id":"600"}],"user_id":"82920","series_title":"Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021","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)","type":"conference","status":"public","date_updated":"2022-05-09T15:06:36Z","publisher":"Association for Computational Linguistics","date_created":"2021-05-26T07:06:18Z","author":[{"last_name":"Alshomary","full_name":"Alshomary, Milad","id":"73059","first_name":"Milad"},{"first_name":"Shahbaz","last_name":"Syed","full_name":"Syed, Shahbaz"},{"full_name":"Potthast, Martin","last_name":"Potthast","first_name":"Martin"},{"first_name":"Henning","last_name":"Wachsmuth","id":"3900","full_name":"Wachsmuth, Henning"}],"title":"Argument Undermining: Counter-Argument Generation by Attacking Weak Premises","conference":{"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)","location":"Online"},"doi":"10.18653/v1/2021.findings-acl.159","main_file_link":[{"url":"https://aclanthology.org/2021.findings-acl.159.pdf"}],"year":"2021","page":"1816–1827","citation":{"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>","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>.","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>.","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} }","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>.","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."}},{"_id":"45788","project":[{"grant_number":"160364472","name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)","_id":"9"},{"grant_number":"160364472","_id":"1","name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten "},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"}],"department":[{"_id":"600"}],"user_id":"477","language":[{"iso":"eng"}],"type":"mastersthesis","status":"public","date_updated":"2023-07-05T07:32:18Z","supervisor":[{"last_name":"Wachsmuth","id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning"}],"date_created":"2023-06-27T12:54:30Z","author":[{"last_name":"Bülling","full_name":"Bülling, Jonas","first_name":"Jonas"}],"title":"Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump","year":"2021","citation":{"ieee":"J. Bülling, <i>Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump</i>. 2021.","chicago":"Bülling, Jonas. <i>Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump</i>, 2021.","ama":"Bülling J. <i>Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump</i>.; 2021.","bibtex":"@book{Bülling_2021, title={Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump}, author={Bülling, Jonas}, year={2021} }","mla":"Bülling, Jonas. <i>Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump</i>. 2021.","short":"J. Bülling, Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump, 2021.","apa":"Bülling, J. (2021). <i>Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump</i>."}},{"user_id":"477","department":[{"_id":"600"}],"project":[{"grant_number":"160364472","_id":"9","name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)"},{"grant_number":"160364472","_id":"1","name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten "},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"}],"_id":"45787","language":[{"iso":"eng"}],"type":"mastersthesis","status":"public","date_created":"2023-06-27T12:51:08Z","supervisor":[{"last_name":"Wachsmuth","id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning"}],"author":[{"first_name":"Avishek","last_name":"Mishra","full_name":"Mishra, Avishek"}],"date_updated":"2023-07-05T07:32:50Z","title":"Computational Text Professionalization using Neural Sequence-to-Sequence Models","citation":{"ieee":"A. Mishra, <i>Computational Text Professionalization using Neural Sequence-to-Sequence Models</i>. 2021.","chicago":"Mishra, Avishek. <i>Computational Text Professionalization Using Neural Sequence-to-Sequence Models</i>, 2021.","ama":"Mishra A. <i>Computational Text Professionalization Using Neural Sequence-to-Sequence Models</i>.; 2021.","apa":"Mishra, A. (2021). <i>Computational Text Professionalization using Neural Sequence-to-Sequence Models</i>.","mla":"Mishra, Avishek. <i>Computational Text Professionalization Using Neural Sequence-to-Sequence Models</i>. 2021.","bibtex":"@book{Mishra_2021, title={Computational Text Professionalization using Neural Sequence-to-Sequence Models}, author={Mishra, Avishek}, year={2021} }","short":"A. Mishra, Computational Text Professionalization Using Neural Sequence-to-Sequence Models, 2021."},"year":"2021"},{"page":"224-233","citation":{"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} }","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>.","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>.","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>.","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>"},"year":"2021","author":[{"first_name":"Milad","id":"73059","full_name":"Alshomary, Milad","last_name":"Alshomary"},{"last_name":"Chen","id":"82920","full_name":"Chen, Wei-Fan","first_name":"Wei-Fan"},{"first_name":"Timon","last_name":"Gurcke","id":"52174","full_name":"Gurcke, Timon"},{"last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900","first_name":"Henning"}],"date_created":"2021-02-05T08:00:07Z","date_updated":"2026-02-23T16:06:41Z","publisher":"Association for Computational Linguistics","doi":"10.18653/v1/2021.eacl-main.17","conference":{"name":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume","location":"Online"},"main_file_link":[{"url":"https://www.aclweb.org/anthology/2021.eacl-main.17"}],"title":"Belief-based Generation of Argumentative Claims","publication":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume","type":"conference","status":"public","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"}],"department":[{"_id":"600"}],"user_id":"14972","_id":"21178","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"}],"language":[{"iso":"eng"}]},{"year":"2020","citation":{"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.","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.","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.","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.","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.","short":"Z. Nouri, H. Wachsmuth, G. Engels, in: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, n.d., pp. 6264–6276.","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} }"},"page":"6264-6276","publication_status":"accepted","has_accepted_license":"1","title":"Mining Crowdsourcing Problems from Discussion Forums of Workers","conference":{"name":"The 28th International Conference on Computational Linguistics","start_date":"2020-12-08","end_date":"2020-12-13","location":"Barcelona, Spain"},"date_updated":"2022-01-06T06:54:19Z","date_created":"2020-10-18T12:21:34Z","author":[{"id":"35802","full_name":"Nouri, Zahra","last_name":"Nouri","first_name":"Zahra"},{"first_name":"Henning","id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth"},{"first_name":"Gregor","full_name":"Engels, Gregor","id":"107","last_name":"Engels"}],"file":[{"content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2020-11-10T14:25:56Z","creator":"znouri","date_created":"2020-11-10T14:25:56Z","file_size":610246,"file_id":"20334","file_name":"Mining Crowdsourcing Problems from Discussion Forums of Workers.pdf","access_level":"closed"}],"status":"public","type":"conference","publication":"Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics","ddc":["000"],"file_date_updated":"2020-11-10T14:25:56Z","language":[{"iso":"eng"}],"_id":"20116","user_id":"82920","department":[{"_id":"600"}]},{"status":"public","publication":"Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media (PEOPLES 2020)","type":"conference","language":[{"iso":"eng"}],"department":[{"_id":"600"}],"user_id":"82920","_id":"20122","page":"29-40","citation":{"ieee":"R. 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