F. S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, and H. Wachsmuth, “Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 65–84.
LibreCat: /record/45882
DOI: 10.5281/zenodo.8068456

J. Kersting and M. Geierhos, “Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews,” in Data Management Technologies and Applications, vol. 1860, A. Cuzzocrea, O. Gusikhin, S. Hammoudi, and C. Quix, Eds. Cham: Springer Nature Switzerland, 2023, pp. 45–65.
LibreCat: /record/46205
DOI: 10.1007/978-3-031-37890-4_3

J. Kersting, M. Ahmed, and M. Geierhos, “Chatbot-Enhanced Requirements Resolution for Automated Service Compositions,” in HCI International 2022 Posters, vol. 1580, C. Stephanidis, M. Antona, and S. Ntoa, Eds. Cham, Switzerland: Springer International Publishing, 2022, pp. 419--426.
LibreCat: /record/32179
DOI: 10.1007/978-3-031-06417-3_56

F. S. Bäumer, J. Kersting, S. Denisov, and M. Geierhos, “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING,” in PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, Lisbon, Portugal, 2021, pp. 221--225.
LibreCat: /record/26049

J. Kersting and M. Geierhos, “Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks,” in Natural Language Processing in Artificial Intelligence -- NLPinAI 2020, vol. 939, R. Loukanova, Ed. Cham: Springer, 2021, pp. 163--189.
LibreCat: /record/17905
DOI: 10.1007/978-3-030-63787-3_6

J. Kersting and M. Geierhos, “Well-being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations,” in Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), Online, 2021, pp. 275--284.
LibreCat: /record/22051

J. Kersting and M. Geierhos, “Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting,” in Natural Language Processing and Information Systems, vol. 12801, E. Kapetanios, H. Horacek, E. Métais, and F. Meziane, Eds. Saarbrücken, Germany: Springer, 2021, pp. 231--242.
LibreCat: /record/22052

F. S. Bäumer, J. Kersting, B. Buff, and M. Geierhos, “Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P News Tagging,” in Information and Software Technologies, vol. 1283, L. Audrius, B. Rita, G. Daina, and S. Vilma, Eds. Springer, 2020, pp. 368--382.
LibreCat: /record/17347
DOI: https://doi.org/10.1007/978-3-030-59506-7_30

J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning,” in Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), Valetta, Malta, 2020, pp. 391--400.
LibreCat: /record/15580

B. Buff, J. Kersting, and M. Geierhos, “Detection of Privacy Disclosure in the Medical Domain: A Survey,” in Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), Valetta, Malta, 2020, pp. 630--637.
LibreCat: /record/15582

J. Kersting and M. Geierhos, “Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis,” in Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, North Miami Beach, FL, USA, 2020, pp. 282--285.
LibreCat: /record/15635

J. Kersting and M. Geierhos, “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers,” in Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, Valetta, Malta, 2020, pp. 263--272.
LibreCat: /record/15256

F. S. Bäumer and M. Geierhos, “Requirements Engineering in OTF-Computing,” in encyclopedia.pub, Basel, Switzerland: MDPI, 2019.
LibreCat: /record/8312

F. S. Bäumer, J. Kersting, and M. Geierhos, “Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches,” Computers, vol. 8, no. 1, 2019.
LibreCat: /record/8424
DOI: 10.3390/computers8010022

F. S. Bäumer, B. Buff, and M. Geierhos, “Potentielle Privatsphareverletzungen aufdecken und automatisiert sichtbar machen,” in DHd 2019 Digital Humanities: multimedial &; multimodal. Konferenzabstracts, Mainz and Frankfurt am Main, Germany, 2019, pp. 192–193.
LibreCat: /record/8532
DOI: 10.5281/zenodo.2596095

J. Kersting, F. S. Bäumer, and M. Geierhos, “In Reviews We Trust: But Should We? Experiences with Physician Review Websites,” in Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, Heraklion, Greece, 2019, pp. 147–155.
LibreCat: /record/9613

F. S. Bäumer and M. Geierhos, “How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges,” in Proceedings of the 23rd International Conference on Natural Language and Information Systems, vol. 10859, M. Silberztein, F. Atigui, E. Kornyshova, E. Métais, and F. Meziane, Eds. Cham, Switzerland: Springer, 2018, pp. 509–513.
LibreCat: /record/2322
DOI: 10.1007/978-3-319-91947-8_53

Y. Kim, S. Lee, M. Dollmann, and M. Geierhos, “Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure,” International Journal of Advanced Science and Technology, vol. 112, pp. 123–136, 2018.
LibreCat: /record/2331
DOI: 10.14257/ijast.2018.112.12

M. Geierhos, “Freiraum zur individuellen Reflexion gemeinsamer Werte,” in Integration und Toleranz, 1st ed., K. B. Schnebel and A. Taubenböck, Eds. Ulm, Germany: Klemm+Oelschläger, 2018, pp. 288–292.
LibreCat: /record/6436

F. S. Bäumer, J. Kersting, V. Kurselis, and M. Geierhos, “Rate Your Physician: Findings from a Lithuanian Physician Rating Website,” in Communications in Computer and Information Science, vol. 920, R. Damasevidius and G. Vasiljevien, Eds. Cham, Switzerland: Springer, 2018, pp. 43–58.
LibreCat: /record/4338
DOI: 10.1007/978-3-319-99972-2_4