Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, 2020, pp. 391--400.

Buff, Bianca, et al. “Detection of Privacy Disclosure in the Medical Domain: A Survey.” Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), SCITEPRESS, 2020, pp. 630--637.

Kersting, Joschka, and Michaela Geierhos. “Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis.” Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, AAAI, 2020, pp. 282--285.

Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers.” Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS, 2020, pp. 263--272.

Bäumer, Frederik Simon, and Michaela Geierhos. “Requirements Engineering in OTF-Computing.” Encyclopedia.Pub, MDPI, 2019.

Bäumer, Frederik Simon, et al. “Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches.”10.3390/computers8010022__Computers, vol. 8, no. 1, 22, MDPI AG, Basel, Switzerland, 2019, doi:10.3390/computers8010022.

Seemann, Nina, and Marie-Luis Merten. “UPB-Annotate: Ein maßgeschneidertes Toolkit fur historische Texte.”10.5281/ZENODO.2596094__DHd 2019 Digital Humanities: multimedial &; multimodal. Konferenzabstracts, edited by Patrick Sahle, Zenodo, 2019, pp. 352–53, doi:10.5281/ZENODO.2596094.

Bäumer, Frederik Simon, et al. “Potentielle Privatsphareverletzungen aufdecken und automatisiert sichtbar machen.”10.5281/zenodo.2596095__DHd 2019 Digital Humanities: multimedial &; multimodal. Konferenzabstracts, edited by Patrick Sahle, Zenodo, 2019, pp. 192–93, doi:10.5281/zenodo.2596095.

Kersting, Joschka, et al. “In Reviews We Trust: But Should We? Experiences with Physician Review Websites.” Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, edited by Muthu Ramachandran et al., SCITEPRESS, 2019, pp. 147–55.

Bäumer, Frederik Simon, and Bianca Buff. “How to Boost Customer Relationship Management via Web Mining Benefiting from the Glass Customer’s Openness.”10.5220/0007828301290136__Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, doi:10.5220/0007828301290136.

Friesen, Edwin. Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis. Universität Paderborn, 2019.

Bäumer, Frederik Simon, and Michaela Geierhos. “How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges.”10.1007/978-3-319-91947-8_53__Proceedings of the 23rd International Conference on Natural Language and Information Systems, edited by Max10.1007/978-3-319-91947-8_53__Silberztein et al., vol. 10859, Springer, 2018, pp. 509–13, doi:10.1007/978-3-319-91947-8_53.

Kim, Yeongsu, et al. “Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure.”10.14257/ijast.2018.112.12__International Journal of Advanced Science and Technology, vol. 112, SERSC Australia, 2018, pp. 123–36, doi:10.14257/ijast.2018.112.12.

Geierhos, Michaela. “Freiraum zur individuellen Reflexion gemeinsamer Werte.” Integration und Toleranz, edited by Karin B. Schnebel and Andrea Taubenböck, 1st ed., Klemm+Oelschläger, 2018, pp. 288–92.

Bäumer, Frederik Simon, et al. “Rate Your Physician: Findings from a Lithuanian Physician Rating Website.”10.1007/978-3-319-99972-2_4__Communications in Computer and Information Science, edited by Robertas Damasevidius and Giedr Vasiljevien, vol. 920, Springer, 2018, pp. 43–58, doi:10.1007/978-3-319-99972-2_4.

Bäumer, Frederik Simon, and Michaela Geierhos. “NLP in OTF Computing: Current Approaches and Open Challenges.”10.1007/978-3-319-99972-2_46__Proceedings of the 24th International Conference on Information and Software Technologies (ICIST 2018), edited by Robertas Damasevidius and Giedr Vasiljevien, vol. 920, Springer, 2018, pp. 559–70, doi:10.1007/978-3-319-99972-2_46.

Bäumer, Frederik Simon, and Michaela Geierhos. “Text Broom: A ML-Based Tool to Detect and Highlight Privacy Breaches in Physician Reviews: An Insight into Our Current Work.” European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts, 2018.

Merten, Marie-Luis, and Nina Seemann. “Analysing Constructional Change: Linguistic Annotation and Sources of Uncertainty.”10.1145/3284179.3284320__Proceedings of the 6th International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM’18), edited by Francisco José García-Peñalvo, ACM, 2018, pp. 819–25, doi:10.1145/3284179.3284320.

Bäumer, Frederik Simon, et al. “Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews.” 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), edited by Ali Khalili and Maria Koutraki, vol. 2198, 97, CEUR-WS.org, 2018.

Bäumer, Frederik Simon, and Michaela Geierhos. “Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-Based Configuration of Text Analysis Pipelines.”10125/50609__Proceedings of the 51st Hawaii International Conference on System Sciences, 2018, pp. 5746–55, doi:10125/50609.