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Peckhaus, Mathematical Reviews, MR4436125 (2023).","apa":"Peckhaus, V. (2023). von Plato, Jan, Chapters from Gödel’s Unfinished Books on Foundational Research, Springer: Cham 2022 (Vienna Circle Institute Library; 6). In <i>Mathematical Reviews, MR4436125</i>."},"publication":"Mathematical Reviews, MR4436125","type":"review","title":"von Plato, Jan, Chapters from Gödel’s Unfinished Books on Foundational Research, Springer: Cham 2022 (Vienna Circle Institute Library; 6)","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://mathscinet.ams.org/mathscinet/article?mr=4436125"}],"_id":"50068","publication_date":"2023-10-02","date_updated":"2024-05-19T14:52:53Z","date_created":"2023-12-23T12:08:34Z","user_id":"391","author":[{"first_name":"Volker","id":"391","full_name":"Peckhaus, Volker","last_name":"Peckhaus"}]},{"citation":{"ieee":"L. M. Bürckner, <i>Entwicklung eines Verfahrens zur Probenentnahme aus einem Pulverkuchen im SLS-Prozess</i>. 2023.","chicago":"Bürckner, Lorena Marie. <i>Entwicklung Eines Verfahrens Zur Probenentnahme Aus Einem Pulverkuchen Im SLS-Prozess</i>, 2023.","ama":"Bürckner LM. <i>Entwicklung Eines Verfahrens Zur Probenentnahme Aus Einem Pulverkuchen Im SLS-Prozess</i>.; 2023.","mla":"Bürckner, Lorena Marie. <i>Entwicklung Eines Verfahrens Zur Probenentnahme Aus Einem Pulverkuchen Im SLS-Prozess</i>. 2023.","bibtex":"@book{Bürckner_2023, title={Entwicklung eines Verfahrens zur Probenentnahme aus einem Pulverkuchen im SLS-Prozess}, author={Bürckner, Lorena Marie}, year={2023} }","short":"L.M. Bürckner, Entwicklung Eines Verfahrens Zur Probenentnahme Aus Einem Pulverkuchen Im SLS-Prozess, 2023.","apa":"Bürckner, L. M. (2023). <i>Entwicklung eines Verfahrens zur Probenentnahme aus einem Pulverkuchen im SLS-Prozess</i>."},"year":"2023","date_created":"2024-05-21T13:54:15Z","supervisor":[{"first_name":"Moritz Johannes","last_name":"Rüther","full_name":"Rüther, Moritz Johannes","id":"38188"},{"first_name":"Hans-Joachim","last_name":"Schmid","orcid":"000-0001-8590-1921","id":"464","full_name":"Schmid, Hans-Joachim"}],"author":[{"last_name":"Bürckner","full_name":"Bürckner, Lorena Marie","first_name":"Lorena Marie"}],"date_updated":"2024-05-21T13:58:47Z","title":"Entwicklung eines Verfahrens zur Probenentnahme aus einem Pulverkuchen im SLS-Prozess","type":"bachelorsthesis","status":"public","user_id":"38188","department":[{"_id":"150"}],"_id":"54389","language":[{"iso":"eng"}]},{"type":"mastersthesis","year":"2023","status":"public","citation":{"apa":"Aissani, S. (2023). <i>Polystyrol Nanopartikel als alternative Fließhilfsmittel für SLS-Materialien (Studienarbeit)</i>.","mla":"Aissani, Soufiane. <i>Polystyrol Nanopartikel Als Alternative Fließhilfsmittel Für SLS-Materialien (Studienarbeit)</i>. 2023.","bibtex":"@book{Aissani_2023, title={Polystyrol Nanopartikel als alternative Fließhilfsmittel für SLS-Materialien (Studienarbeit)}, author={Aissani, Soufiane}, year={2023} }","short":"S. Aissani, Polystyrol Nanopartikel Als Alternative Fließhilfsmittel Für SLS-Materialien (Studienarbeit), 2023.","ama":"Aissani S. <i>Polystyrol Nanopartikel Als Alternative Fließhilfsmittel Für SLS-Materialien (Studienarbeit)</i>.; 2023.","ieee":"S. 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Modeling Appropriate Language in Argumentation. In: <i>Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics</i>. ; 2023:4344-4363. doi:<a href=\"https://doi.org/10.18653/v1/2023.acl-long.238\">https://doi.org/10.18653/v1/2023.acl-long.238</a>","ieee":"T. Ziegenbein, S. Syed, F. Lange, M. Potthast, and H. Wachsmuth, “Modeling Appropriate Language in Argumentation,” in <i>Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics</i>, Toronto, 2023, pp. 4344–4363, doi: <a href=\"https://doi.org/10.18653/v1/2023.acl-long.238\">https://doi.org/10.18653/v1/2023.acl-long.238</a>.","chicago":"Ziegenbein, Timon, Shahbaz Syed, Felix Lange, Martin Potthast, and Henning Wachsmuth. “Modeling Appropriate Language in Argumentation.” In <i>Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics</i>, 4344–63, 2023. <a href=\"https://doi.org/10.18653/v1/2023.acl-long.238\">https://doi.org/10.18653/v1/2023.acl-long.238</a>.","bibtex":"@inproceedings{Ziegenbein_Syed_Lange_Potthast_Wachsmuth_2023, title={Modeling Appropriate Language in Argumentation}, DOI={<a href=\"https://doi.org/10.18653/v1/2023.acl-long.238\">https://doi.org/10.18653/v1/2023.acl-long.238</a>}, booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics}, author={Ziegenbein, Timon and Syed, Shahbaz and Lange, Felix and Potthast, Martin and Wachsmuth, Henning}, year={2023}, pages={4344–4363} }","short":"T. Ziegenbein, S. Syed, F. Lange, M. Potthast, H. Wachsmuth, in: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 2023, pp. 4344–4363.","mla":"Ziegenbein, Timon, et al. “Modeling Appropriate Language in Argumentation.” <i>Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics</i>, 2023, pp. 4344–63, doi:<a href=\"https://doi.org/10.18653/v1/2023.acl-long.238\">https://doi.org/10.18653/v1/2023.acl-long.238</a>.","apa":"Ziegenbein, T., Syed, S., Lange, F., Potthast, M., &#38; Wachsmuth, H. (2023). Modeling Appropriate Language in Argumentation. <i>Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics</i>, 4344–4363. <a href=\"https://doi.org/10.18653/v1/2023.acl-long.238\">https://doi.org/10.18653/v1/2023.acl-long.238</a>"},"page":"4344-4363","user_id":"67893","_id":"49882","file_date_updated":"2023-12-19T13:58:33Z","type":"conference","status":"public","date_created":"2023-12-19T14:02:20Z","title":"Modeling Appropriate Language in Argumentation","quality_controlled":"1","year":"2023","language":[{"iso":"eng"}],"ddc":["004"],"publication":"Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics","file":[{"access_level":"open_access","file_name":"2023.acl-long.238.pdf","file_id":"49883","file_size":1061941,"date_created":"2023-12-19T13:58:33Z","creator":"flange","date_updated":"2023-12-19T13:58:33Z","relation":"main_file","content_type":"application/pdf"}],"abstract":[{"lang":"eng","text":"Online discussion moderators must make ad-hoc decisions about whether the contributions of discussion participants are appropriate or should be removed to maintain civility. Existing research on offensive language and the resulting tools cover only one aspect among many involved in such decisions. The question of what is considered appropriate in a controversial discussion has not yet been systematically addressed. In this paper, we operationalize appropriate language in argumentation for the first time. In particular, we model appropriateness through the absence of flaws, grounded in research on argument quality assessment, especially in aspects from rhetoric. From these, we derive a new taxonomy of 14 dimensions that determine inappropriate language in online discussions. Building on three argument quality corpora, we then create a corpus of 2191 arguments annotated for the 14 dimensions. Empirical analyses support that the taxonomy covers the concept of appropriateness comprehensively, showing several plausible correlations with argument quality dimensions. Moreover, results of baseline approaches to assessing appropriateness suggest that all dimensions can be modeled computationally on the corpus."}]},{"language":[{"iso":"eng"}],"ddc":["000"],"file":[{"date_updated":"2024-05-22T10:46:58Z","date_created":"2024-05-22T10:45:08Z","creator":"heindorf","file_size":432708,"access_level":"open_access","file_id":"54417","file_name":"NCES2_public.pdf","content_type":"application/pdf","relation":"main_file"}],"abstract":[{"text":"Class expression learning in description logics has long been regarded as an iterative search problem in an infinite conceptual space. Each iteration of the search process invokes a reasoner and a heuristic function. The reasoner finds the instances of the current expression, and the heuristic function computes the information gain and decides on the next step to be taken. As the size of the background knowledge base grows, search-based approaches for class expression learning become prohibitively slow. Current neural class expression synthesis (NCES) approaches investigate the use of neural networks for class expression learning in the attributive language with complement (ALC). While they show significant improvements over search-based approaches in runtime and quality of the computed solutions, they rely on the availability of pretrained embeddings for the input knowledge base. Moreover, they are not applicable to ontologies in more expressive description logics. In this paper, we propose a novel NCES approach which extends the state of the art to the description logic ALCHIQ(D). Our extension, dubbed NCES2, comes with an improved training data generator and does not require pretrained embeddings for the input knowledge base as both the embedding model and the class expression synthesizer are trained jointly. Empirical results on benchmark datasets suggest that our approach inherits the scalability capability of current NCES instances with the additional advantage that it supports more complex learning problems. NCES2 achieves the highest performance overall when compared to search-based approaches and to its predecessor NCES. We provide our source code, datasets, and pretrained models at https://github.com/dice-group/NCES2.","lang":"eng"}],"publication":"Machine Learning and Knowledge Discovery in Databases: Research Track","title":"Neural Class Expression Synthesis in ALCHIQ(D)","date_created":"2023-09-25T13:42:01Z","publisher":"Springer Nature Switzerland","year":"2023","file_date_updated":"2024-05-22T10:46:58Z","user_id":"11871","department":[{"_id":"760"},{"_id":"574"}],"_id":"47421","status":"public","type":"book_chapter","main_file_link":[{"open_access":"1","url":"https://papers.dice-research.org/2023/ECML_NCES2/NCES2_public.pdf"}],"doi":"10.1007/978-3-031-43421-1_12","conference":{"name":"European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases","start_date":"2023-09-18","end_date":"2023-09-22","location":"Turin"},"author":[{"first_name":"N'Dah Jean","last_name":"Kouagou","id":"87189","full_name":"Kouagou, N'Dah Jean"},{"last_name":"Heindorf","orcid":"0000-0002-4525-6865","full_name":"Heindorf, Stefan","id":"11871","first_name":"Stefan"},{"last_name":"Demir","full_name":"Demir, Caglar","id":"43817","first_name":"Caglar"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"date_updated":"2024-05-22T10:48:24Z","oa":"1","citation":{"apa":"Kouagou, N. J., Heindorf, S., Demir, C., &#38; Ngonga Ngomo, A.-C. (2023). Neural Class Expression Synthesis in ALCHIQ(D). In <i>Machine Learning and Knowledge Discovery in Databases: Research Track</i>. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Turin. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-43421-1_12\">https://doi.org/10.1007/978-3-031-43421-1_12</a>","mla":"Kouagou, N’Dah Jean, et al. “Neural Class Expression Synthesis in ALCHIQ(D).” <i>Machine Learning and Knowledge Discovery in Databases: Research Track</i>, Springer Nature Switzerland, 2023, doi:<a href=\"https://doi.org/10.1007/978-3-031-43421-1_12\">10.1007/978-3-031-43421-1_12</a>.","short":"N.J. Kouagou, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: Machine Learning and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland, Cham, 2023.","bibtex":"@inbook{Kouagou_Heindorf_Demir_Ngonga Ngomo_2023, place={Cham}, title={Neural Class Expression Synthesis in ALCHIQ(D)}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-43421-1_12\">10.1007/978-3-031-43421-1_12</a>}, booktitle={Machine Learning and Knowledge Discovery in Databases: Research Track}, publisher={Springer Nature Switzerland}, author={Kouagou, N’Dah Jean and Heindorf, Stefan and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2023} }","ieee":"N. J. Kouagou, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class Expression Synthesis in ALCHIQ(D),” in <i>Machine Learning and Knowledge Discovery in Databases: Research Track</i>, Cham: Springer Nature Switzerland, 2023.","chicago":"Kouagou, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Neural Class Expression Synthesis in ALCHIQ(D).” In <i>Machine Learning and Knowledge Discovery in Databases: Research Track</i>. Cham: Springer Nature Switzerland, 2023. <a href=\"https://doi.org/10.1007/978-3-031-43421-1_12\">https://doi.org/10.1007/978-3-031-43421-1_12</a>.","ama":"Kouagou NJ, Heindorf S, Demir C, Ngonga Ngomo A-C. Neural Class Expression Synthesis in ALCHIQ(D). In: <i>Machine Learning and Knowledge Discovery in Databases: Research Track</i>. Springer Nature Switzerland; 2023. doi:<a href=\"https://doi.org/10.1007/978-3-031-43421-1_12\">10.1007/978-3-031-43421-1_12</a>"},"place":"Cham","publication_status":"published","publication_identifier":{"isbn":["9783031434204","9783031434211"],"issn":["0302-9743","1611-3349"]},"has_accepted_license":"1"}]