Seemann, N., Geierhos, M., Merten, M.-L., Tophinke, D., Wever, M. D., &; Hüllermeier, E. (2018). Supporting the Cognitive Process in Annotation Tasks. In K. Eckart &; D. Schlechtweg (Eds.), Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft.

Ehland, C., &; Fischer, P. (Eds.). (2018). Resistance and the City: Negotiating Urban Identities – Race, Class, and Gender: Vol. Volume 28. Brill.

Ehland, C., &; Fischer, P. (Eds.). (2018). Resistance and the City: Challenging Urban Space: Vol. Volume 27. Brill.

Bredenbröcker, M., &; Hahn, C. A. (2018). Welcome back to school: Aussprache in Klasse 5 prüfen. Englisch 5 - 10, 41, 32–34.

Dolzhenko, I., &; Rumlich, D. (2017). AfCeCdDfDc, CaCa CeCd CaDe [Verstehen, wie sie ticken]. Interview on CLIL conducted by Cd CeCbCdCaCe [Irina Dolzhenko] on behalf of sib.fm. sib.fm.

Kersting, J., Geierhos, M., Jung, H., &; Kim, T. (2017). Internet of Things Architecture for Handling Stream Air Pollution Data. In M. Ramachandran, V. Méndez Muñoz, V. Kantere, G. Wills, R. Walters, &; V. Chang (Eds.), Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security (pp. 117–124). Setúbal, Portugal: SCITEPRESS.https://doi.org/10.5220/0006354801170124 

Seemann, N., Merten, M.-L., Geierhos, M., Tophinke, D., &; Hüllermeier, E. (2017). Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German. In Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (pp. 40–45). Stroudsburg, PA, USA: Association for Computational Linguistics (ACL).https://doi.org/10.18653/v1/W17-2206 

Kersting, J., &; Geierhos, M. (2017). Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach. In R. Damasevidius &; V. Mikasyt (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings (Vol. 756, pp. 528–538). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-67642-5 

Bäumer, F. S., Grote, N., Kersting, J., &; Geierhos, M. (2017). Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews. In R. Damasevidius &; V. Mikasyt (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings (Vol. 756, pp. 77–89). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-67642-5_7 

Mindt, I., Schäfer, W., Sloane, P. F. E., Gössling, B., &; Mehic, A. (Eds.). (2017). Proceedings of the BHQFHE projects. Basis, Analysis, Development, Impact and Prosepcts of the BHQFHE Tempus Project. Sarajevo.

Mindt, I. (2017). Chosen. Zeitschrift Für Anglistik Und Amerikanistik, 65 : 3, 339–353.

Mindt, I. (2017). Analyzing Corpus Data from Within. In Anglistik. International Journal of English Studies  (28 : 1, pp. 57–73).

Mindt, I. (2017). Accreditation of Study Programs. In W. Schäfer, P. Sloane, I. Mindt, B. Gössling, &; A. Mehic (Eds.), Proceedings of the BHQFHE projects. Basis, Analysis, Development, Impact and Prosepcts of the BHQFHE Tempus Project (pp. 23–26). Sarajevo.

Mindt, I. (2017). Chosen. Zeitschrift Für Anglistik Und Amerikanistik, 65(3), 339–353.

Mindt, I. (2017). Analyzing Corpus Data from Within. Anglistik. International Journal of English Studies, 28(1), 57–73.

Rumlich, D. (2017). CLIL theory and empirical reality – Two sides of the same coin? Journal of Immersion and Content-Based Language Education, 5(1), 110–134.https://doi.org/10.1075/jicb.5.1.05rum 

Rumlich, D., &; Ahlers, S. (2017). The rich environment of CLIL classes as an ideal setting for collaborative learning. In C. Ludwig &; K. van de Poel (Eds.), Collaborative learning and new media (pp. 259–274). Frankfurt am Main, Germany: Lang.

Geierhos, M., &; Bäumer, F. S. (2017). Guesswork? Resolving Vagueness in User-Generated Software Requirements. In H. Christiansen, M. D. Jiménez-López, R. Loukanova, &; L. S. Moss (Eds.), Partiality and Underspecification in Information, Languages, and Knowledge (1st ed., pp. 65–108). Newcastle upon Tyne, UK: Cambridge Scholars Publishing.

Bäumer, F. S., Dollmann, M., &; Geierhos, M. (2017). Studying Software Descriptions in SourceForge and App Stores for a better Understanding of real-life Requirements. In F. Sarro, E. Shihab, M. Nagappan, M. C. Platenius, &; D. Kaimann (Eds.), Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics (pp. 19–25). New York, NY, USA: ACM.https://doi.org/10.1145/3121264.3121269 

Bäumer, F. S. (2017). Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen. Universität Paderborn.https://doi.org/10.17619/UNIPB/1-157