Linked Open Data System for Scientific Data Sets. - Frederik Simon Bäumer; Jangwon Gim; Do-Heon Jeong; Michaela Geierhos; Hanmin Jung (IPaMin@KONVENS, 2014)

Understanding the Patient 2.0 - Gaining Insight into Patients' Rating Behavior by User-Generated Physician Review Mining. - Michaela Geierhos; Frederik Simon Bäumer; Sabine Schulze; Caterina Klotz (CONTEXT, 2015)

Erfahrungsberichte aus zweiter Hand: Erkenntnisse über die Autorschaft von Arztbewertungen in Online-Portalen. - Michaela Geierhos; Frederik Simon Bäumer (DHd, 2015)

"I grade what I get but write what I think." Inconsistency Analysis in Patients' Reviews. - Michaela Geierhos; Frederik Simon Bäumer; Sabine Schulze; Valentina Stuß (ECIS, 2015)

Find a Physician by Matching Medical Needs Described in your Own Words. - Frederik Simon Bäumer; Markus Dollmann; Michaela Geierhos (EUSPN/ICTH, 2015)

What Did You Mean? - Facing the Challenges of User-generated Software Requirements. - Michaela Geierhos; Sabine Schulze; Frederik Simon Bäumer (ICAART (1), 2015)

A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews. - Frederik Simon Bäumer; Michaela Geierhos; Sabine Schulze (ICIST, 2015)

Filtering Reviews by Random Individual Error. - Michaela Geierhos; Frederik Simon Bäumer; Sabine Schulze; Valentina Stuß (IEA/AIE, 2015)

Running Out of Words: How Similar User Stories Can Help to Elaborate Individual Natural Language Requirement Descriptions. - Frederik Simon Bäumer; Michaela Geierhos (ICIST, 2016)

How to Complete Customer Requirements - Using Concept Expansion for Requirement Refinement. - Michaela Geierhos; Frederik Simon Bäumer (NLDB, 2016)

Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews. - Frederik Simon Bäumer; Nicolai Grote; Joschka Kersting; Michaela Geierhos (ICIST, 2017)

From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process. - Lorijn van Rooijen; Frederik Simon Bäumer; Marie Christin Platenius; Michaela Geierhos; Heiko Hamann; Gregor Engels (RE Workshops, 2017)

Studying software descriptions in SourceForge and app stores for a better understanding of real-life requirements. - Frederik Simon Bäumer; Markus Dollmann; Michaela Geierhos (WAMA@ESEC/SIGSOFT FSE, 2017)

Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen = Indicator-based detection and compensation of inaccurate and incompletely described software requirements. - Frederik Simon Bäumer (2017)

Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-Based Configuration of Text Analysis Pipelines. - Frederik Simon Bäumer; Michaela Geierhos (HICSS, 2018)

Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews. - Frederik Simon Bäumer; Joschka Kersting; Matthias Orlikowski; Michaela Geierhos (SEMANTiCS (Posters & Demos), 2018)

NLP in OTF Computing: Current Approaches and Open Challenges. - Frederik Simon Bäumer; Michaela Geierhos (ICIST, 2018)

Rate Your Physician: Findings from a Lithuanian Physician Rating Website. - Frederik Simon Bäumer; Joschka Kersting; Vytautas Kurselis; Michaela Geierhos (ICIST, 2018)

How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges. - Frederik Simon Bäumer; Michaela Geierhos (NLDB, 2018)

How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas. - Frederik Simon Bäumer; Michaela Geierhos (REFSQ Workshops, 2018)

Back to Basics: Extracting Software Requirements with a Syntactic Approach. - Matthew Caron; Frederik Simon Bäumer; Michaela Geierhos (REFSQ Workshops, 2018)

CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface. - Edwin Friesen; Frederik Simon Bäumer; Michaela Geierhos (REFSQ Workshops, 2018)

How to Boost Customer Relationship Management via Web Mining Benefiting from the Glass Customer's Openness. - Frederik Simon Bäumer; Bianca Buff (DATA, 2019)

Potentielle Privatsphäreverletzungen aufdecken und automatisiert sichtbar machen. - Frederik Simon Bäumer; Bianca Buff; Michaela Geierhos (DHd, 2019)

In Reviews We Trust: But Should We? Experiences with Physician Review Websites. - Joschka Kersting; Frederik Simon Bäumer; Michaela Geierhos (IoTBDS, 2019)

Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches. - Frederik Simon Bäumer; Joschka Kersting; Michaela Geierhos (Comput., 2019)

Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging. - Frederik Simon Bäumer; Joschka Kersting; Bianca Buff; Michaela Geierhos (ICIST, 2020)

How to Improve E-commerce Search Engines? Evaluating Transformer-Based Named Entity Recognition on German Product Datasets. - Sergej Denisov; Frederik Simon Bäumer (ICIST, 2021)

Die Unterstützung der Arbeit auf der Rechtsantragstelle durch Chatbots: Vorstellung der Ergebnisse einer Machbarkeitsstudie. - Daniel Antonius Hötte; Frederik Simon Bäumer; Isabelle Désirée Biallaß; Michael Sommerfeld (Comput. und Recht, 2021)

Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models. - Matthew Caron; Frederik Simon Bäumer; Oliver Müller 001 (HICSS, 2022)

The Only Link You'll Ever Need: How Social Media Reference Landing Pages Speed Up Profile Matching. - Sergej Denisov; Frederik S. Bäumer (ICIST, 2022)

From Digital Tracks to Digital Twins: On the Path to Cross-Platform Profile Linking. - Sergej Schultenkämper; Frederik S. Bäumer; Benjamin Bellgrau; Yeong Su Lee; Michaela Geierhos (EDOC Workshops, 2023)

Von der Theorie zur Praxis: Erfahrungen bei der akademischen Begleitung vonKI-ProjekteninKMUs. - Frederik S. Bäumer; Hans Brandt-Pook; Falk Maoro; Sergej Schultenkämper; Benjamin Stecker (GI-Jahrestagung, 2023)

Synergien zwischen KI und menschlicher Expertise: Online-Sichtbarkeitsoptimierung durch Text-Transformation. - Bastian Sirvend; Alexander Stahlkopf; Frederik S. Bäumer (GI-Jahrestagung, 2023)

Privacy Risks in German Patient Forums: A NER-Based Approach to Enrich Digital Twins. - Sergej Schultenkämper; Frederik Simon Bäumer (ICIST, 2023)

Lektionen und Anwendungsfälle aus der Implementierung von Retrieval-Augmented-Generation-Systemen. - Frederik Simon Bäumer; Hans Brandt-Pook; André Matutat; Falk Maoro; David Pelkmann; Sergej Schultenkämper (INFORMATIK, 2024)

Structured Knowledge Extraction for Digital Twins: Leveraging LLMs to Analyze Tweets. - Sergej Schultenkämper; Frederik Simon Bäumer (I4CS, 2024)

Mirroring Privacy Risks with Digital Twins: When Pieces of Personal Data Suddenly Fit Together. - Frederik Simon Bäumer; Sergej Schultenkämper; Michaela Geierhos; Yeong Su Lee (SN Comput. Sci., 2024)

Multimodal Analysis of Modern Phishing Attacks: Towards an Evolving Dataset of Real-World Data. - Sergej Schultenkämper; Frederik S. Bäumer (ICSC, 2025)

Enhancing Social Media Summarization with Instruction Tuned Large Language Models and Adaptive Summary Ranking. - Sergej Schultenkämper; Viktoriia Vovchenko; Frederik S. Bäumer (ICSC, 2025)