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 

Kersting, J., &; Bäumer, F. S. (2022). Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis. In J. Kersting (Ed.), Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications (pp. 5–9). IARIA.

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

Kersting, J., &; Bäumer, F. S. (2020). SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, 119--123.

Bäumer, F. S., &; Geierhos, M. (2019). Requirements Engineering in OTF-Computing. In encyclopedia.pub. Basel, Switzerland: MDPI.

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

Bäumer, F. S., Buff, B., &; Geierhos, M. (2019). Potentielle Privatsphareverletzungen aufdecken und automatisiert sichtbar machen. In P. Sahle (Ed.), DHd 2019 Digital Humanities: multimedial &; multimodal. Konferenzabstracts (pp. 192–193). Frankfurt am Main, Germany: Zenodo.https://doi.org/10.5281/zenodo.2596095 

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

Bäumer, F. S., &; Buff, B. (2019). How to Boost Customer Relationship Management via Web Mining Benefiting from the Glass Customer’s Openness. In Proceedings of the 8th International Conference on Data Science, Technology and Applications.https://doi.org/10.5220/0007828301290136 

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

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

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

Bäumer, F. S., &; Geierhos, M. (2018). 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. Paderborn, Germany.

Bäumer, F. S., Kersting, J., Orlikowski, M., &; Geierhos, M. (2018). Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews. In A. Khalili &; M. Koutraki (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). Vienna, Austria: CEUR-WS.org.

Bäumer, F. S., &; Geierhos, M. (2018). 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 (pp. 5746–5755). Big Island, Waikoloa Village.https://doi.org/10125/50609 

Bäumer, F. S., &; Geierhos, M. (2018). How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas. In K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari,  A. Zamansky (Eds.), Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018) (Vol. 2075). Utrecht, The Netherlands: CEUR-WS.org.

Friesen, E., Bäumer, F. S., &; Geierhos, M. (2018). CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface. In K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari,  A. Zamansky (Eds.), Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018) (Vol. 2075). Utrecht, The Netherlands: CEUR-WS.org.

Caron, M., Bäumer, F. S., &; Geierhos, M. (2018). Back to Basics: Extracting Software Requirements with a Syntactic Approach. In K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari,  A. Zamansky (Eds.), Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018) (Vol. 2075). Utrecht, The Netherlands: CEUR-WS.org.

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 

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 

van Rooijen, L., Bäumer, F. S., Platenius, M. C., Geierhos, M., Hamann, H., &; Engels, G. (2017). From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process. In 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW) (pp. 379–385). Piscataway, NJ, USA: IEEE.https://doi.org/10.1109/REW.2017.26 

Geierhos, M., &; Bäumer, F. S. (2016). How to Complete Customer Requirements: Using Concept Expansion for Requirement Refinement. In E. Métais, F. Meziane, M. Saraee, V. Sugumaran, &; S. Vadera (Eds.), Proceedings of the 21st International Conference on Applications of Natural Language to Information Systems (NLDB) (Vol. 9612, pp. 37–47). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-41754-7_4 

Bäumer, F. S., &; Geierhos, M. (2016). Running out of Words: How Similar User Stories Can Help to Elaborate Individual Natural Language Requirement Descriptions. In G. Dregvaite &; R. Damasevicius (Eds.), Proceedings of the 22nd International Conference on Information and Software Technologies (ICIST) (Vol. 639, pp. 549–558). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-46254-7_44 

Geierhos, M., Bäumer, F. S., Schulze, S., &; Stuß, V. (2015). Filtering Reviews by Random Individual Error. In M. Ali, Y. S. Kwon, C.-H. Lee, J. Kim, &; Y. Kim (Eds.), Proceedings of the 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2015) (Vol. 9101, pp. 305–315). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-19066-2_30 

Geierhos, M., &; Bäumer, F. S. (2015). Erfahrungsberichte aus zweiter Hand: Erkenntnisse über die Autorschaft von Arztbewertungen in Online-Portalen. In DHd 2015: Book of Abstracts (pp. 69–72). Graz, Austria: ZIM-ACDH.

Geierhos, M., Bäumer, F. S., Schulze, S., &; Stuß, V. (2015). “I grade what I get but write what I think.”https://doi.org/10.18151/7217324__Inconsistency Analysis in Patients’ Reviews. In ECIS 2015 Completed Research Papers. New York, NY, USA: Elsevier.https://doi.org/10.18151/7217324 

Geierhos, M., Schulze, S., &; Bäumer, F. S. (2015). Der zufriedene Patient 2.0: Analyse anonymer Arztbewertungen im Web 2.0 (Vol. 3). Düsseldorf, Germany: Verbraucherzentrale NRW/Kompetenzzentrum Verbraucherforschung NRW.https://doi.org/10.15501/kvfwp_3 

Bäumer, F. S., Dollmann, M., &; Geierhos, M. (2015). Find a Physician by Matching Medical Needs described in your Own Words. In E. M. Shakshuki (Ed.), The 6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2015) / The 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2015) / Affiliated Workshops (Vol. 63, pp. 417–424). Amsterdam, The Netherlands: Elsevier.https://doi.org/10.1016/j.procs.2015.08.362 

Bäumer, F. S., Geierhos, M., &; Schulze, S. (2015). A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews. In G. Dregvaite &; R. Damasevicius (Eds.), Information and Software Technologies. 21st International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015. Proceedings (Vol. 538, pp. 3–15). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-24770-0_1 

Geierhos, M., Bäumer, F. S., Schulze, S., &; Klotz, C. (2015). Understanding the Patient 2.0: Gaining Insight into Patients’ Rating Behavior by User-generated Physician Review Mining. In H. Christiansen, I. Stojanovic, &; G. A. Papadopoulos (Eds.), Modeling and Using Context. 9th International and Interdisciplinary Conference, CONTEXT 2015, Lanarca, Cyprus, November 2-6, 2015. Proceedings (Vol. 9405, pp. 159–171). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-25591-0_12 

Geierhos, M., Schulze, S., &; Bäumer, F. S. (2015). What did you mean? Facing the Challenges of User-generated Software Requirements. In S. Loiseau, J. Filipe, B. Duval, &; J. van den Herik (Eds.), Proceedings of the 7th International Conference on Agents and Artificial Intelligence (ICAART), Special Session on Partiality, Underspecification, and Natural Language Processing (PUaNLP 2015) (pp. 277–283). Setúbal, Portugal: SciTePress - Science and Technology Publications.https://doi.org/10.5220/0005346002770283 

Jeong, D.-H., Gim, J., Jung, H., Geierhos, M., &; Bäumer, F. S. (2014). Comparative study on disambiguating acronyms in the scientific papers using the open knowledge base. In Conference Proceedings of the 9th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2014) (pp. 369–371). Kathmandu, Nepal.

Bäumer, F. S., Gim, J., Jeong, D.-H., Geierhos, M., &; Jung, H. (2014). Linked Open Data System for Scientific Data Sets. In H. Jung, T. Mandl, C. Womsen-Hacker, &; S. Xu (Eds.), Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens 2014 (Vol. 1292). Hildesheim, Germany: CEUR-WS.org.