@inproceedings{33004, author = {{Wachsmuth, Henning and Alshomary, Milad}}, booktitle = {{Proceedings of the 29th International Conference on Computational Linguistics}}, pages = {{344 -- 354}}, title = {{{"Mama Always Had a Way of Explaining Things So I Could Understand": A Dialogue Corpus for Learning How to Explain}}}, year = {{2022}}, } @article{34049, author = {{Lauscher, Anne and Wachsmuth, Henning and Gurevych, Iryna and Glavaš, Goran}}, journal = {{Transactions of the Association for Computational Linguistics}}, title = {{{On the Role of Knowledge in Computational Argumentation}}}, year = {{2022}}, } @inproceedings{22157, author = {{Kiesel, Johannes and Alshomary, Milad and Handke, Nicolas and Cai, Xiaoni and Wachsmuth, Henning and Stein, Benno}}, booktitle = {{Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics}}, pages = {{4459 -- 4471}}, title = {{{Identifying the Human Values behind Arguments}}}, year = {{2022}}, } @inproceedings{34057, author = {{Pasic, Faruk and Becker, Matthias}}, booktitle = {{2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)}}, publisher = {{IEEE}}, title = {{{Domain-specific Language for Condition Monitoring Software Development}}}, doi = {{10.1109/etfa52439.2022.9921730}}, year = {{2022}}, } @inbook{34027, author = {{Somogyi, Peter}}, booktitle = {{Troja bauen}}, editor = {{Federow, Anne-Katrin and Malcher, Kay}}, publisher = {{Universitätsverlag Winter}}, title = {{{"Swer siner kunst meister ist, der hat gewalt an siner list". Herborts von Fritzlar Liet von Troye als Fortsetzungstext des Eneasromans Heinrichs von Veldeke am Schnittpunkt von Aneignung und Neukonstitution}}}, year = {{2022}}, } @inproceedings{34047, abstract = {{News articles both shape and reflect public opinion across the political spectrum. Analyzing them for social bias can thus provide valuable insights, such as prevailing stereotypes in society and the media, which are often adopted by NLP models trained on respective data. Recent work has relied on word embedding bias measures, such as WEAT. However, several representation issues of embeddings can harm the measures' accuracy, including low-resource settings and token frequency differences. In this work, we study what kind of embedding algorithm serves best to accurately measure types of social bias known to exist in US online news articles. To cover the whole spectrum of political bias in the US, we collect 500k articles and review psychology literature with respect to expected social bias. We then quantify social bias using WEAT along with embedding algorithms that account for the aforementioned issues. We compare how models trained with the algorithms on news articles represent the expected social bias. Our results suggest that the standard way to quantify bias does not align well with knowledge from psychology. While the proposed algorithms reduce the~gap, they still do not fully match the literature.}}, author = {{Spliethöver, Maximilian and Keiff, Maximilian and Wachsmuth, Henning}}, booktitle = {{Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)}}, location = {{Abu Dhabi}}, publisher = {{Association for Computational Linguistics}}, title = {{{No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media}}}, year = {{2022}}, } @inbook{34017, author = {{Musiol, Marie-Luise and Winst, Silke}}, booktitle = {{Spiritual Vegetation: Vegetal Nature in Religious Contexts Across Medieval and Early Modern Europe (Berliner Mittelalter- und Frühneuzeitforschung, Vol. 26)}}, editor = {{Lamsechi, Guita and Trînca, Beatrice}}, pages = {{97--129}}, title = {{{Pfirsichbaum und dunkler Wald. Pflanzliche Konfigurationen zwischen Dynamisierung und Innehalten in 'Partonopier und Meliur' Konrads von Würzburg}}}, year = {{2022}}, } @misc{34019, author = {{Musiol, Marie-Luise}}, booktitle = {{Sexuologie}}, title = {{{Bennewitz, Ingrid/Eming, Jutta/Traulsen, Johannes: Gender Studies – Queer Studies – Intersektionalität. Eine Zwischenbilanz aus mediävistischer Perspektive (Berliner Mittelalter- und Frühneuzeitforschung 25), Göttingen 2019}}}, year = {{2022}}, } @inbook{34018, author = {{Musiol, Marie-Luise}}, booktitle = {{Unverfügbar. Kulturen des Heiligen}}, editor = {{Egidi, Margreth and Peters, Ludmilla and Schmidt, Jochen}}, title = {{{Menschlicher Körper, heiliger Körper. Zur Kreuzigung Christi im Donaueschinger Passionsspiel}}}, year = {{2022}}, } @inbook{34077, author = {{Bondarenko, Alexander and Fröbe, Maik and Kiesel, Johannes and Syed, Shahbaz and Gurcke, Timon and Beloucif, Meriem and Panchenko, Alexander and Biemann, Chris and Stein, Benno and Wachsmuth, Henning and Potthast, Martin and Hagen, Matthias}}, booktitle = {{Lecture Notes in Computer Science}}, isbn = {{9783030997380}}, issn = {{0302-9743}}, publisher = {{Springer International Publishing}}, title = {{{Overview of Touché 2022: Argument Retrieval}}}, doi = {{10.1007/978-3-030-99739-7_43}}, year = {{2022}}, } @inbook{33985, abstract = {{Der Beitrag widmet sich dem Einsatz von Augmented Reality (AR) in betrieblichen Aus- und Weiterbildungskontexten. Hierbei stehen insbesondere Fragen zu Berufsfeldern und Ausbildungsinhalten, zu verwendeten AR-Spezifikationen, zu Zusammenhängen zwischen AR-Anwendung und leistungs-, wahrnehmungs- und motivationsbezogenen Variablen sowie zur didaktischen Einbettung entsprechender Technologien im Fokus. Auf Basis einer integrierenden Sichtung bestehender Literatur konnten insgesamt 16 Studien sowie zwei bereits vorliegende Literaturreviews in die Analyse eingeschlossen werden. Die Ergebnisse verweisen u. a. auf eine heterogene Lage hinsichtlich forschungsmethodischer Zugänge und didaktischer Referenzkonzepte. Weitgehend förderliche Effekte auf leistungs-, wahrnehmungs- und motivationsbezogene Variablen stimmen insgesamt bezüglich des AR-Einsatzes positiv, machen aber auch die Notwendigkeit einer integrierten Betrachtung technologischer und pädagogisch-instruktionaler Gestaltungsparameter deutlich.}}, author = {{Kärner, Tobias and Goller, Michael and Maier, Andreas}}, booktitle = {{Digitalisierung und digitale Medien in der Berufsbildung: Konzepte, Befunde und Herausforderungen}}, editor = {{Schumann, Stephan and Seeber, Susan and Abele, Stephan}}, keywords = {{Augmented Reality, Ausbildung, Weiterbildung, Lernen mit digitalen Medien, integratives Literaturreview}}, pages = {{213--230}}, publisher = {{wbv}}, title = {{{Augmented Reality Anwendungen in der betrieblichen Aus‐ und Weiterbildung}}}, volume = {{41}}, year = {{2022}}, } @article{34080, abstract = {{Startpunkt jeglicher Professionalisierungsbemühungen ist ein Verständnis der für das professionelle Handeln notwendigen Kompetenzen. Dieser Beitrag widmet sich der literaturbasierten Identifikation von Kompetenzen des betrieblichen Ausbildungspersonals und ordnet diese den vier Kompetenzbereichen Fach-, Methoden-, Sozial- und Selbstkompetenz zu. Die Ergebnisse können sowohl als Grundlage für weitere Forschung dienen als auch in der Praxis als Orientierung für die Gestaltung von Qualifizierungsmaßnahmen verwendet werden. }}, author = {{Bonnes, Caroline and Binkert, Julia and Goller, Michael}}, journal = {{Berufsbildung in Wissenschaft und Praxis – BWP}}, number = {{4}}, title = {{{Kompetenzen des betrieblichen Ausbildungspersonals: Eine literaturbasierte Systematisierung}}}, year = {{2022}}, } @inproceedings{34051, abstract = {{An argument is a constellation of premises reasoning towards a certain conclusion. The automatic generation of conclusions is becoming a very prominent task, raising the need for automatic measures to assess the quality of these generated conclusions. The SharedTask at the 9th Workshop on Argument Mining proposes a new task to assess the novelty and validity of a conclusion given a set of premises. In this paper, we present a multitask learning approach that transfers the knowledge learned from the natural language inference task to the tasks at hand. Evaluation results indicate the importance of both knowledge transfer and joint learning, placing our approach in the fifth place with strong results compared to baselines.}}, author = {{Alshomary, Milad and Stahl, Maja}}, booktitle = {{Proceedings of the 9th Workshop on Argument Mining}}, pages = {{111–114}}, publisher = {{International Conference on Computational Linguistics}}, title = {{{Argument Novelty and Validity Assessment via Multitask and Transfer Learning}}}, year = {{2022}}, } @article{34099, abstract = {{Using a unique combination of advanced characterization techniques, we identify specific degradation mechanisms and quantify degradative species formed during fast charge cycling of lithium-ion battery pouch cells.}}, author = {{McShane, Eric J. and Paul, Partha P. and Tanim, Tanvir R. and Cao, Chuntian and Steinrück, Hans-Georg and Thampy, Vivek and Trask, Stephen E. and Dunlop, Alison R. and Jansen, Andrew N. and Dufek, Eric J. and Toney, Michael F. and Weker, Johanna Nelson and McCloskey, Bryan D.}}, issn = {{2050-7488}}, journal = {{Journal of Materials Chemistry A}}, keywords = {{General Materials Science, Renewable Energy, Sustainability and the Environment, General Chemistry}}, number = {{44}}, pages = {{23927--23939}}, publisher = {{Royal Society of Chemistry (RSC)}}, title = {{{Multimodal quantification of degradation pathways during extreme fast charging of lithium-ion batteries}}}, doi = {{10.1039/d2ta05887a}}, volume = {{10}}, year = {{2022}}, } @article{34098, author = {{Yusuf, Maha and LaManna, Jacob M. and Paul, Partha P. and Agyeman-Budu, David N. and Cao, Chuntian and Dunlop, Alison R. and Jansen, Andrew N. and Polzin, Bryant J. and Trask, Stephen E. and Tanim, Tanvir R. and Dufek, Eric J. and Thampy, Vivek and Steinrück, Hans-Georg and Toney, Michael F. and Nelson Weker, Johanna}}, issn = {{2666-3864}}, journal = {{Cell Reports Physical Science}}, keywords = {{General Physics and Astronomy, General Energy, General Engineering, General Materials Science, General Chemistry}}, number = {{11}}, pages = {{101145}}, publisher = {{Elsevier BV}}, title = {{{Simultaneous neutron and X-ray tomography for visualization of graphite electrode degradation in fast-charged lithium-ion batteries}}}, doi = {{10.1016/j.xcrp.2022.101145}}, volume = {{3}}, year = {{2022}}, } @inproceedings{34103, abstract = {{It is well known that different algorithms perform differently well on an instance of an algorithmic problem, motivating algorithm selection (AS): Given an instance of an algorithmic problem, which is the most suitable algorithm to solve it? As such, the AS problem has received considerable attention resulting in various approaches - many of which either solve a regression or ranking problem under the hood. Although both of these formulations yield very natural ways to tackle AS, they have considerable weaknesses. On the one hand, correctly predicting the performance of an algorithm on an instance is a sufficient, but not a necessary condition to produce a correct ranking over algorithms and in particular ranking the best algorithm first. On the other hand, classical ranking approaches often do not account for concrete performance values available in the training data, but only leverage rankings composed from such data. We propose HARRIS- Hybrid rAnking and RegRessIon foreSts - a new algorithm selector leveraging special forests, combining the strengths of both approaches while alleviating their weaknesses. HARRIS' decisions are based on a forest model, whose trees are created based on splits optimized on a hybrid ranking and regression loss function. As our preliminary experimental study on ASLib shows, HARRIS improves over standard algorithm selection approaches on some scenarios showing that combining ranking and regression in trees is indeed promising for AS.}}, author = {{Fehring, Lukass and Hanselle, Jonas Manuel and Tornede, Alexander}}, booktitle = {{Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022}}, location = {{Baltimore}}, title = {{{HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection}}}, year = {{2022}}, } @article{33251, author = {{Robra-Bissantz, Susanne and Lattemann, Christoph and Laue, Ralf and Leonhard-Pfleger, Raphaela and Wagner, Luisa and Gerundt, Oliver and Schlimbach, Ricarda and Baumann, Sabine and Vorbohle, Christian and Gottschalk, Sebastian and Kundisch, Dennis and Engels, Gregor and Wünderlich, Nancy and Nissen, Volker and Lohrenz, Lisa and Michalke, Simon}}, journal = {{HMD Praxis der Wirtschaftsinformatik}}, number = {{5}}, pages = {{1227 -- 1257}}, title = {{{Methoden zum Design digitaler Plattformen, Geschäftsmodelle und Service-Ökosysteme}}}, volume = {{59}}, year = {{2022}}, } @inproceedings{33502, author = {{Althaus, Maike and Poniatowski, Martin and Kundisch, Dennis}}, booktitle = {{Proceedings of the 43rd International Conference on Information Systems (ICIS)}}, location = {{Copenhagen, Denmark}}, title = {{{Tackling Crises Together? – An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic}}}, year = {{2022}}, } @inproceedings{33882, author = {{Laux, Florian and Poniatowski, Martin and Kundisch, Dennis}}, location = {{Copenhagen, Denmark}}, title = {{{May I have your attention, please? Analyzing the effects of attention screening mechanisms on crowdworking platforms}}}, year = {{2022}}, } @inproceedings{33885, author = {{Seutter, Janina}}, location = {{Copenhagen, Denmark}}, title = {{{Online Reviews in B2B Markets: A Qualitative Study on the Underlying Motives }}}, year = {{2022}}, }