Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
128 Publications
2023 | Dissertation | LibreCat-ID: 44323
Kersting, J. (2023). Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining. Universität der Bundeswehr München .
LibreCat
| Files available
2023 | Book Chapter | LibreCat-ID: 45882 | 
Bäumer, F. S., Chen, W.-F., Geierhos, M., Kersting, J., & Wachsmuth, H. (2023). Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 65–84). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068456
LibreCat
| Files available
| DOI
2023 | Book Chapter | LibreCat-ID: 46205
Kersting, J., & Geierhos, M. (2023). Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews. In A. Cuzzocrea, O. Gusikhin, S. Hammoudi, & C. Quix (Eds.), Data Management Technologies and Applications (Vol. 1860, pp. 45–65). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-37890-4_3
LibreCat
| Files available
| DOI
2023 | Journal Article | LibreCat-ID: 45673
Merten, M.-L., Wever, M., Tophinke, D., Geierhos, M., & Hüllermeier, E. (2023). Annotation uncertainty in the context of grammatical change. International Journal of Corpus Linguistics. https://doi.org/10.1075/ijcl.20113.mer
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 53801 |
Kersting, J., Maoro, F., & Geierhos, M. (2023). Towards comparable ratings: Exploring bias in German physician reviews. Data & Knowledge Engineering, 148, Article 102235. https://doi.org/10.1016/j.datak.2023.102235
LibreCat
| Files available
| DOI
| Download (ext.)
2022 | Book Chapter | LibreCat-ID: 32179
Kersting, J., Ahmed, M., & Geierhos, M. (2022). Chatbot-Enhanced Requirements Resolution for Automated Service Compositions. In C. Stephanidis, M. Antona, & S. Ntoa (Eds.), HCI International 2022 Posters (Vol. 1580, pp. 419--426). Springer International Publishing. https://doi.org/10.1007/978-3-031-06417-3_56
LibreCat
| Files available
| DOI
2021 | Conference Paper | LibreCat-ID: 26049
Bäumer, F. S., Kersting, J., Denisov, S., & Geierhos, M. (2021). IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING. PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, 221--225.
LibreCat
| Files available
2021 | Book Chapter | LibreCat-ID: 17905
Kersting, J., & Geierhos, M. (2021). Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks. In R. Loukanova (Ed.), Natural Language Processing in Artificial Intelligence -- NLPinAI 2020 (Vol. 939, pp. 163--189). Cham: Springer. https://doi.org/10.1007/978-3-030-63787-3_6
LibreCat
| Files available
| DOI
2021 | Conference Paper | LibreCat-ID: 22051
Kersting, J., & Geierhos, M. (2021). Well-being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations. Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), 275--284.
LibreCat
2021 | Book Chapter | LibreCat-ID: 22052
Kersting, J., & Geierhos, M. (2021). Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting. In E. Kapetanios, H. Horacek, E. Métais, & F. Meziane (Eds.), Natural Language Processing and Information Systems (Vol. 12801, pp. 231--242). Springer.
LibreCat
| Files available