Informationsextraktion aus Stellenanzeigen im Internet. - Sandra Bsiri; Michaela Geierhos (LWA, 2007)

RELAX - Extractino of Semantic Relations in Biographical Contexts. - Michaela Geierhos; Olivier Blanc; Sandra Bsiri (Trait. Autom. des Langues, 2008)

Business Specific Online Information Extraction from German Websites. - Yeong Su Lee; Michaela Geierhos (CICLing, 2009)

Key Expression driven Record Mining for Event Calendar Search. - Yeong Su Lee; Michaela Geierhos (LWA, 2009)

Buy, Sell, or Hold? Information Extraction from Stock Analyst Reports. - Yeong Su Lee; Michaela Geierhos (CONTEXT, 2011)

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

System Thinking: Crafting Scenarios for Prescriptive Analytics. - Jens Weber 001; Min-Hee Cho; Mikyoung Lee; Sa-Kwang Song; 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)

Identifikation kognitiver Effekte in Online-Bewertungen. - Valentina Stuß; Michaela Geierhos (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)

Wie verhalten sich Aktionäre bei Unternehmenszusammenschlüssen? Modellierung sprachlicher Muster zur Analyse treibender Faktoren bei der Berichterstattung. - Sophia Stotz; Michaela Geierhos (DHd, 2016)

On- and Off-Topic Classification and Semantic Annotation of User-Generated Software Requirements. - Markus Dollmann; Michaela Geierhos (EMNLP, 2016)

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)

Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach. - Joschka Kersting; Michaela Geierhos (ICIST, 2017)

Internet of Things Architecture for Handling Stream Air Pollution Data. - Joschka Kersting; Michaela Geierhos; Hanmin Jung; Taehong Kim (IoTBDS, 2017)

Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German. - Nina Seemann; Marie-Luis Merten; Michaela Geierhos; Doris Tophinke; Eyke Hüllermeier (LaTeCH@ACL, 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)

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)

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)

Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis. - Joschka Kersting; Michaela Geierhos (FLAIRS, 2020)

Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. - Joschka Kersting; Michaela Geierhos (ICAART (1), 2020)

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)

Detection of Privacy Disclosure in the Medical Domain: A Survey. - Bianca Buff; Joschka Kersting; Michaela Geierhos (ICPRAM, 2020)

What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-service Providers. - Joschka Kersting; Michaela Geierhos (ICPRAM, 2020)

Effective Detection of Hate Speech Spreaders on Twitter. - Julian Höllig; Yeong Su Lee; Nina Seemann; Michaela Geierhos (CLEF (Working Notes), 2021)

Well-Being in Plastic Surgery: Deep Learning Reveals Patients' Evaluations. - Joschka Kersting; Michaela Geierhos (DATA, 2021)

A Multimodal Mixed Reality Data Exploration Framework for Tactical Decision Making. - Tim Mittermeier; Matthias Frank 005; Sabine Ullrich; Gabi Dreo Rodosek; Michaela Geierhos (ICMCIS, 2021)

Influence of Training Data on the Invertability of Neural Networks for Handwritten Digit Recognition. - Antonia Adler; Michaela Geierhos; Eleanor Hobley (ICMLA, 2021)

Using Bloom's Taxonomy to Classify Question Complexity. - Sabine Ullrich; Michaela Geierhos (ICNLSP, 2021)

Semantic Text Segment Classification of Structured Technical Content. - Julian Höllig; Philipp Dufter; Michaela Geierhos; Wolfgang Ziegler; Hinrich Schütze (NLDB, 2021)

Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting. - Joschka Kersting; Michaela Geierhos (NLDB, 2021)

Annotation Uncertainty in the Context of Grammatical Change. - Marie-Luis Merten; Marcel Wever; Michaela Geierhos; Doris Tophinke; Eyke Hüllermeier (CoRR, 2021)

CODE at CheckThat!-2022: Multi-class fake news detection of news articles with BERT. - Olivier Blanc; Albert Pritzkau; Ulrich Schade; Michaela Geierhos (CLEF (Working Notes), 2022)

NLytics at CheckThat!-2022: Hierarchical multi-class fake news detection of news articles exploiting the topic structure. - Albert Pritzkau; Olivier Blanc; Michaela Geierhos; Ulrich Schade (CLEF (Working Notes), 2022)

Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews. - Joschka Kersting; Michaela Geierhos (DATA (Revised Selected Papers), 2022)

Chatbot-Enhanced Requirements Resolution for Automated Service Compositions. - Joschka Kersting; Mobeen Ahmed; Michaela Geierhos (HCI (37), 2022)

Keep It Simple: Local Search-based Latent Space Editing. - Andreas Meißner; Andreas Fröhlich; Michaela Geierhos (IJCCI, 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)

Current language models' poor performance on pragmatic aspects of natural language. - Albert Pritzkau; Julia Waldmüller; Olivier Blanc; Michaela Geierhos; Ulrich Schade (FIRE (Working Notes), 2023)

Leveraging Semantic Search and LLMs for Domain-Adaptive Information Retrieval. - Falk Maoro; Benjamin Vehmeyer; Michaela Geierhos (ICIST, 2023)

Generalizability of Abusive Language Detection Models on Homogeneous German Datasets. - Nina Seemann; Yeong Su Lee; Julian Höllig; Michaela Geierhos (Datenbank-Spektrum, 2023)

Towards comparable ratings: Exploring bias in German physician reviews. - Joschka Kersting; Falk Maoro; Michaela Geierhos (Data Knowl. Eng., 2023)

The problem of varying annotations to identify abusive language in social media content. - Nina Seemann; Yeong Su Lee; Julian Höllig; Michaela Geierhos (Nat. Lang. Eng., 2023)

Keep It Simple: Evaluating Local Search-Based Latent Space Editing. - Andreas Meißner; Andreas Fröhlich; Michaela Geierhos (SN Comput. Sci., 2023)

Curation of Benchmark Templates for Measuring Gender Bias in Named Entity Recognition Models. - Ana Cimitan; Ana Alves-Pinto; Michaela Geierhos (LREC/COLING, 2024)

ITER: Iterative Transformer-based Entity Recognition and Relation Extraction. - Moritz Hennen; Florian Babl; Michaela Geierhos (EMNLP (Findings), 2024)

Evaluating Embedding Models for Retrieving ESG Information from Annual Business Reports. - Fabian Winkel; Michaela Geierhos; Josef Fink (ICIS, 2024)

Combining Frequency-Based Smoothing and Salient Masking for Performant and Imperceptible Adversarial Samples. - Amon Soares de Souza; Andreas Meißner; Michaela Geierhos (ICPR (22), 2024)

Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples. - Philipp Jonas Rösch; Norbert Oswald; Michaela Geierhos; Jindrich Libovický (CoRR, 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)

Random Splitting Negatively Impacts NER Evaluation: Quantifying and Eliminating the Overestimation of NER Performance. - Florian Babl; Moritz Hennen; Jakob Murauer; Michaela Geierhos (ACL (Findings), 2025)

Connection Is all You Need! Mining and Linking Disparate Data Sources for Collaboration Network Analysis. - Benjamin Vehmeyer; Michaela Geierhos (ICEIS (1), 2025)

Towards JPEG-Compression Invariance for Adversarial Optimization. - Amon Soares de Souza; Andreas Meißner; Michaela Geierhos (VISIGRAPP (3): VISAPP, 2025)

Utility Meets Privacy: A Critical Evaluation of Tabular Data Synthesizers. - Julian Höllig; Michaela Geierhos (IEEE Access, 2025)

Contestable AI for criminal intelligence analysis: improving decision-making through semantic modeling and human oversight. - Falk Maoro; Michaela Geierhos (Frontiers Artif. Intell., 2025)