@misc{34025,
  abstract     = {{Controversial topics like abortion or capital punishment inherently lack
of correct answers or the right way to deal with. Thus, in order to find what is true,
what is good, or what should be done, the involved parties need to debate. For the
purpose of forming an opinion on a controversial topic someone needs to take in a
lot of arguments on that topic to gather information which can be a time-consuming
process. To increase efficiency, someone can use an argument search engine to quicken
the retrieval of relevant arguments. Although the usage of such a service reduces the
time to find arguments, there is still a lot of textual data that needs to be read. To this
end, computational summarization approaches for arguments can limit the necessary
time for information review by generating short snippets capturing the main gist of
each argument. Yet, we suggest that approaches that consider one argument at a
time show potential for further improvement in terms of efficiency during information
review. In fact, arguments on the same topic, like those retrieved by a search engine for
a certain query, partially cover the same content, e. g. arguments regarding the death
penalty probably use deterrence as a point in favor of it. However, if the same aspect
is central in multiple arguments, their snippets reflect this, which leads to redundancy
among the snippets. Consequently, someone interested in gathering information on a
controversial topic does not necessarily find new information in each snippet he or she
reads.
We introduce the task of Contrastive Argument Summarization (CAS) which addresses
the aforementioned problem regarding existing argument summarization. An approach
that addresses CAS aims to produce contrastive snippets for each argument in a set
of topic-related arguments. A contrastive snippet should represent the main gist of its
argument, it should account for the argumentative nature of the text, and it should be
dissimilar to the other topic-related arguments in order to reduce redundancy among
the snippets.
We propose two approaches addressing CAS, namely an extended version of the
LexRank derivation by Alshomary et al. (2020), and an advancement of the work
by Bista et al. (2020). Additionally, we develop two automatic measures to assess to
which extent the snippets of one set are opposed. For evaluation, we compile a corpus
using the args.me search engine Wachsmuth et al. (2017b) to come close to the suggested area of application. Moreover, we conduct a manual annotation study to assess
approaches’ effectiveness. We find that the graph-based approach is superior when it
comes to contrastiveness (i. e. snippets being dissimilar to topic-related arguments),
and that the second approach outperforms the previous one and the unmodified version of Alshomary et al. (2020) when it comes to representativeness (i. e. snippets
capturing the main gist of an argument).}},
  author       = {{Rieskamp, Jonas}},
  title        = {{{Contrastive Argument Summarization Using Supervised and Unsupervised Machine Learning}}},
  year         = {{2022}},
}

@inproceedings{34040,
  abstract     = {{<jats:p>Consider the practical goal of making a desired action profile played,

when the planner can only change the payoffs, bound by 

stringent constraints.

Applications include motivating people

to choose the closest school, the closest subway station, or to coordinate

on a communication protocol or an investment strategy.

Employing subsidies and tolls, we adjust the game so that choosing this predefined action profile

becomes strictly dominant. 

Inspired mainly by the work of Monderer and Tennenholtz,

where the promised subsidies do not materialise in the not played

profiles, we provide a fair and individually rational game

adjustment, such that the total outside investments sum up

to zero at any profile, thereby facilitating easy and frequent

usage of our adjustment without bearing costs, even if some

players behave unexpectedly. The resultant action profile itself needs no

adjustment. Importantly, we also prove that our adjustment minimises 

the general transfer among all such adjustments, counting the total subsidising and taxation.</jats:p>}},
  author       = {{Polevoy, Gleb and Dziubiński, Marcin}},
  booktitle    = {{Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence}},
  editor       = {{De Raedt, Luc}},
  keywords     = {{adjustment, strictly dominant, fairness, individually rational, transfer, tax, subsidy}},
  location     = {{Vienna}},
  publisher    = {{International Joint Conferences on Artificial Intelligence Organization}},
  title        = {{{Fair, Individually Rational and Cheap Adjustment}}},
  doi          = {{10.24963/ijcai.2022/64}},
  year         = {{2022}},
}

@article{30105,
  abstract     = {{Zusammenfassung: Der Beitrag befasst sich mit der professionellen pädagogischen Beziehung zwischen Referendar*innen und ihren Seminarlehrkräften, deren Beitrag für die Beanspruchung der Referendar*innen bisher noch nicht eingängig untersucht wurde. Das Ziel der Studie ist es, anhand einer Querschnittserhebung von 2583 Referendar*innen und ausgebildeten Lehrkräften, kompensatorische sowie verstärkende Effekte der Beziehungsdimensionen Transparenz, Fairness, Vertrauen und Ambivalenz auf die wahrgenommene Beanspruchung im Referendariat zu untersuchen. Die Analyse erfolgt mittels eines latent moderierten Strukturgleichungsansatzes. Die Ergebnisse zeigen, dass Belastungen durch die Kerntätigkeiten im Referendariat sowie Belastungen durch den Umgang mit Kolleg*innen im Lehrer*innenkollegium in signifikant positivem Zusammenhang mit resultierenden Beanspruchungsreaktionen stehen. Je transparenter, fairer und vertrauensvoller und je weniger ambivalent die Beziehung zur Seminarlehrkraft erlebt wird, desto geringer fallen die Beanspruchungsreaktionen aus. Die Ergebnisse werden hinsichtlich ihrer Relevanz für die Beziehungsarbeit im Referendariat als zentralem Ausbildungsbestandteil der zweiten Phase der Lehrer*innenausbildung diskutiert.</jats:p>}},
  author       = {{Kärner, Tobias and Goller, Michael and Bonnes, Caroline and Maué, Elisabeth}},
  issn         = {{1434-663X}},
  journal      = {{Zeitschrift für Erziehungswissenschaft}},
  keywords     = {{Education}},
  pages        = {{687--719}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Die professionelle pädagogische Beziehung zwischen Referendar*innen und ihren Seminarlehrkräften: Belastungsfaktor oder Ressource?}}},
  doi          = {{10.1007/s11618-022-01065-4}},
  volume       = {{25}},
  year         = {{2022}},
}

@inproceedings{33085,
  author       = {{Epstein, Leah and Lassota, Alexandra and Levin, Asaf and Maack, Marten and Rohwedder, Lars}},
  booktitle    = {{39th International Symposium on Theoretical Aspects of Computer Science, STACS 2022, March 15-18, 2022, Marseille, France (Virtual Conference)}},
  editor       = {{Berenbrink, Petra and Monmege, Benjamin}},
  pages        = {{28:1–28:15}},
  publisher    = {{Schloss Dagstuhl - Leibniz-Zentrum für Informatik}},
  title        = {{{Cardinality Constrained Scheduling in Online Models}}},
  doi          = {{10.4230/LIPIcs.STACS.2022.28}},
  volume       = {{219}},
  year         = {{2022}},
}

@article{34044,
  author       = {{Hoffmann, Christin and Thommes, Kirsten}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  keywords     = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment, Building and Construction}},
  publisher    = {{Elsevier BV}},
  title        = {{{Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic}}},
  doi          = {{10.1016/j.jclepro.2022.135053}},
  year         = {{2022}},
}

@article{34045,
  author       = {{Hoffmann, Christin and Thommes, Kirsten}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  keywords     = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment, Building and Construction}},
  publisher    = {{Elsevier BV}},
  title        = {{{Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic}}},
  doi          = {{10.1016/j.jclepro.2022.135053}},
  year         = {{2022}},
}

@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     = {{<jats:p>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.</jats:p>}},
  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}},
}