Kersting J, Geierhos M. 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). SCITEPRESS; 2021:275--284.

Kersting J, Geierhos M. Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting. In: Kapetanios E, Horacek H, Métais E, Meziane F, eds. Natural Language Processing and Information Systems. Vol 12801. Lecture Notes in Computer Science. Springer; 2021:231--242.

Bäumer FS, Kersting J, Buff B, Geierhos M. Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P News Tagging. In: Audrius L, Rita B, Daina G, Vilma S, eds. Information and Software Technologies. Vol 1283. Communications in Computer and Information Science. Springer; 2020:368--382. doi:https://doi.org/10.1007/978-3-030-59506-7_30

Kersting J, Geierhos M. 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). Setúbal, Portugal: SCITEPRESS; 2020:391--400.

Buff B, Kersting J, Geierhos M. 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). Setúbal, Portugal: SCITEPRESS; 2020:630--637.

Kersting J, Geierhos M. 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: AAAI; 2020:282--285.

Kersting J, Geierhos M. 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. Setúbal, Portugal: SCITEPRESS; 2020:263--272.

Bäumer FS, Geierhos M. Requirements Engineering in OTF-Computing. In: Encyclopedia.Pub. Basel, Switzerland: MDPI; 2019.

Bäumer FS, Kersting J, Geierhos M. Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches. Computers. 2019;8(1). doi:10.3390/computers8010022

Bäumer FS, Buff B, Geierhos M. Potentielle Privatsphareverletzungen aufdecken und automatisiert sichtbar machen. In: Sahle P, ed. DHd 2019 Digital Humanities: multimedial &; multimodal. Konferenzabstracts. Frankfurt am Main, Germany: Zenodo; 2019:192-193. doi:10.5281/zenodo.2596095

Kersting J, Bäumer FS, Geierhos M. In Reviews We Trust: But Should We? Experiences with Physician Review Websites. In: Ramachandran M, Walters R, Wills G, Mendez Munoz V, Chang V, eds. Proceedings of the 4th International Conference on Internet of Things, Big Data and Security. Setúbal, Portugal: SCITEPRESS; 2019:147-155.

Bäumer FS, Geierhos M. How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges. In: Silberztein M, Atigui F, Kornyshova E, Métais E, Meziane F, eds. Proceedings of the 23rd International Conference on Natural Language and Information Systems. Vol 10859. Lecture Notes in Computer Science. Cham, Switzerland: Springer; 2018:509-513. doi:10.1007/978-3-319-91947-8_53

Kim Y, Lee S, Dollmann M, Geierhos M. Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure. International Journal of Advanced Science and Technology. 2018;112:123-136. doi:10.14257/ijast.2018.112.12

Geierhos M. Freiraum zur individuellen Reflexion gemeinsamer Werte. In: Schnebel KB, Taubenböck A, eds. Integration und Toleranz. 1st ed. Ulm, Germany: Klemm+Oelschläger; 2018:288-292.

Bäumer FS, Kersting J, Kurselis V, Geierhos M. Rate Your Physician: Findings from a Lithuanian Physician Rating Website. In: Damasevidius R, Vasiljevien G, eds. Communications in Computer and Information Science. Vol 920. Communications in Computer and Information Science. Cham, Switzerland: Springer; 2018:43-58. doi:10.1007/978-3-319-99972-2_4

Bäumer FS, Geierhos M. NLP in OTF Computing: Current Approaches and Open Challenges. In: Damasevidius R, Vasiljevien G, eds. Proceedings of the 24th International Conference on Information and Software Technologies (ICIST 2018). Vol 920. Communications in Computer and Information Science. Cham, Switzerland: Springer; 2018:559-570. doi:10.1007/978-3-319-99972-2_46

Bäumer FS, Geierhos M. Text Broom: A ML-based Tool to Detect and Highlight Privacy Breaches in Physician Reviews: An Insight into Our Current Work. In: European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts. ; 2018.

Bäumer FS, Kersting J, Orlikowski M, Geierhos M. Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews. In: Khalili A, Koutraki M, eds. Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems Co-Located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018). Vol 2198. CEUR Workshop Proceedings. CEUR-WS.org; 2018.

Bäumer FS, Geierhos M. Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines. In: Proceedings of the 51st Hawaii International Conference on System Sciences. ; 2018:5746-5755. doi:10125/50609

Geierhos M. Unschärfe bei der Interpretation natürlichsprachlicher Anforderungsbeschreibungen. In: Freitag S, Geierhos M, Asmani R, Haug JI, eds. Unschärfe - Der Umgang mit fehlender Eindeutigkeit. 1st ed. Nordrhein-Westfälische Akademie der Wissenschaften und der Künste - Junges Kolleg. Paderborn, Germany: Ferdinand Schöningh; 2018:111-128.