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Ehland, Christoph, and Pascal Fischer, editors. Resistance and the City: Negotiating Urban Identities – Race, Class, and Gender. Brill, 2018.
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Ehland, Christoph, and Pascal Fischer, editors. Resistance and the City: Challenging Urban Space. Brill, 2018.
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Bredenbröcker, Martina, and Charlotte Anna Hahn. “Welcome back to school: Aussprache in Klasse 5 prüfen.” Englisch 5 - 10, vol. 41, Friedrich, 2018, pp. 32–34.
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Dolzhenko, Irina, and Dominik Rumlich. AfCeCdDfDc, AaCa AeCd CaDe [Verstehen, Wie Sie Ticken]. Interview on CLIL Conducted by Cd CeCbCdCaCe [Irina Dolzhenko] on Behalf of Sib.Fm. sib.fm, 2017.
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Kersting, Joschka, et al. “Internet of Things Architecture for Handling Stream Air Pollution Data.”10.5220/0006354801170124__Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security, edited by Muthu Ramachandran et al., SCITEPRESS, 2017, pp. 117–24, doi:10.5220/0006354801170124.
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Seemann, Nina, et al. “Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German.”10.18653/v1/W17-2206__Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, Association for Computational Linguistics (ACL), 2017, pp. 40–45, doi:10.18653/v1/W17-2206.
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Kersting, Joschka, and Michaela Geierhos. “Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach.”10.1007/978-3-319-67642-5__Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, edited by Robertas Damasevidius and Vilma Mikasyt, vol. 756, Springer, 2017, pp. 528–38, doi:10.1007/978-3-319-67642-5.
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Bäumer, Frederik Simon, et al. “Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews.”10.1007/978-3-319-67642-5_7__Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, edited by Robertas Damasevidius and Víctor Mikasyt, vol. 756, Springer, 2017, pp. 77–89, doi:10.1007/978-3-319-67642-5_7.
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Mindt, Ilka, et al., editors. Proceedings of the BHQFHE Projects. Basis, Analysis, Development, Impact and Prosepcts of the BHQFHE Tempus Project. 2017.
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Mindt, Ilka. “Chosen.” Zeitschrift Für Anglistik Und Amerikanistik, vol. 65 : 3, 2017, pp. 339–53.
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Mindt, Ilka. “Analyzing Corpus Data from Within.” Anglistik. International Journal of English Studies , 28 : 1, 2017, pp. 57–73.
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Mindt, Ilka. “Accreditation of Study Programs.” Proceedings of the BHQFHE Projects. Basis, Analysis, Development, Impact and Prosepcts of the BHQFHE Tempus Project, edited by Wilhelm Schäfer et al., 2017, pp. 23–26.
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Mindt, Ilka. “Chosen.” Zeitschrift Für Anglistik Und Amerikanistik, vol. 65, no. 3, 2017, pp. 339–53.
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Mindt, Ilka. “Analyzing Corpus Data from Within.” Anglistik. International Journal of English Studies, vol. 28, no. 1, 2017, pp. 57–73.
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Rumlich, Dominik. “CLIL Theory and Empirical Reality – Two Sides of the Same Coin?”10.1075/jicb.5.1.05rum__Journal of Immersion and Content-Based Language Education, vol. 5, no. 1, 2017, pp. 110–34, doi:10.1075/jicb.5.1.05rum.
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Rumlich, Dominik, and Sabine Ahlers. “The Rich Environment of CLIL Classes as an Ideal Setting for Collaborative Learning.” Collaborative Learning and New Media, edited by Christian Ludwig and Kris van de Poel, Lang, 2017, pp. 259–74.
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Geierhos, Michaela, and Frederik Simon Bäumer. “Guesswork? Resolving Vagueness in User-Generated Software Requirements.” Partiality and Underspecification in Information, Languages, and Knowledge, edited by Henning  Christiansen et al., 1st ed., Cambridge Scholars Publishing, 2017, pp. 65–108.
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Bäumer, Frederik Simon, et al. “Studying Software Descriptions in SourceForge and App Stores for a Better Understanding of Real-Life Requirements.”10.1145/3121264.3121269__Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics, edited by Federica10.1145/3121264.3121269__Sarro et al., ACM, 2017, pp. 19–25, doi:10.1145/3121264.3121269.
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Bäumer, Frederik Simon. Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen. Universität Paderborn, 2017, doi:10.17619/UNIPB/1-157.
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