Michaela Geierhos

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 48

Top Topics

Sentiment Analysis

Software Requirements

Neural Learning

Phrase Extraction

Top Venues

CLEF (Working Notes)

Publications

Philipp Jonas Rösch, Norbert Oswald, Michaela Geierhos, Jindrich Libovický
Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples. CoRR (2024)
Ana Cimitan, Ana Alves-Pinto, Michaela Geierhos
Curation of Benchmark Templates for Measuring Gender Bias in Named Entity Recognition Models. LREC/COLING (2024)
Andreas Meißner, Andreas Fröhlich, Michaela Geierhos
Keep It Simple: Evaluating Local Search-Based Latent Space Editing. SN Comput. Sci. 4 (6) (2023)
Albert Pritzkau, Julia Waldmüller, Olivier Blanc, Michaela Geierhos, Ulrich Schade
Current language models' poor performance on pragmatic aspects of natural language. FIRE (Working Notes) (2023)
Sergej Schultenkämper, Frederik S. Bäumer, Benjamin Bellgrau, Yeong Su Lee, Michaela Geierhos
From Digital Tracks to Digital Twins: On the Path to Cross-Platform Profile Linking. EDOC Workshops (2023)
Falk Maoro, Benjamin Vehmeyer, Michaela Geierhos
Leveraging Semantic Search and LLMs for Domain-Adaptive Information Retrieval. ICIST (2023)
Joschka Kersting, Falk Maoro, Michaela Geierhos
Towards comparable ratings: Exploring bias in German physician reviews. Data Knowl. Eng. 148 (2023)
Nina Seemann, Yeong Su Lee, Julian Höllig, Michaela Geierhos
The problem of varying annotations to identify abusive language in social media content. Nat. Lang. Eng. 29 (6) (2023)
Nina Seemann, Yeong Su Lee, Julian Höllig, Michaela Geierhos
Generalizability of Abusive Language Detection Models on Homogeneous German Datasets. Datenbank-Spektrum 23 (1) (2023)
Andreas Meißner, Andreas Fröhlich, Michaela Geierhos
Keep It Simple: Local Search-based Latent Space Editing. IJCCI (2022)
Olivier Blanc, Albert Pritzkau, Ulrich Schade, Michaela Geierhos
CODE at CheckThat!-2022: Multi-class fake news detection of news articles with BERT. CLEF (Working Notes) (2022)
Joschka Kersting, Michaela Geierhos
Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews. DATA (Revised Selected Papers) (2022)
Albert Pritzkau, Olivier Blanc, Michaela Geierhos, Ulrich Schade
NLytics at CheckThat!-2022: Hierarchical multi-class fake news detection of news articles exploiting the topic structure. CLEF (Working Notes) (2022)
Joschka Kersting, Mobeen Ahmed, Michaela Geierhos
Chatbot-Enhanced Requirements Resolution for Automated Service Compositions. HCI (37) (2022)
Julian Höllig, Yeong Su Lee, Nina Seemann, Michaela Geierhos
Effective Detection of Hate Speech Spreaders on Twitter. CLEF (Working Notes) (2021)
Tim Mittermeier, Matthias Frank, Sabine Ullrich, Gabi Dreo Rodosek, Michaela Geierhos
A Multimodal Mixed Reality Data Exploration Framework for Tactical Decision Making. ICMCIS (2021)
Joschka Kersting, Michaela Geierhos
Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting. NLDB (2021)
Sabine Ullrich, Michaela Geierhos
Using Bloom's Taxonomy to Classify Question Complexity. ICNLSP (2021)
Joschka Kersting, Michaela Geierhos
Well-Being in Plastic Surgery: Deep Learning Reveals Patients' Evaluations. DATA (2021)
Antonia Adler, Michaela Geierhos, Eleanor Hobley
Influence of Training Data on the Invertability of Neural Networks for Handwritten Digit Recognition. ICMLA (2021)
Julian Höllig, Philipp Dufter, Michaela Geierhos, Wolfgang Ziegler, Hinrich Schütze
Semantic Text Segment Classification of Structured Technical Content. NLDB (2021)
Marie-Luis Merten, Marcel Wever, Michaela Geierhos, Doris Tophinke, Eyke Hüllermeier
Annotation Uncertainty in the Context of Grammatical Change. CoRR (2021)
Joschka Kersting, Michaela Geierhos
Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis. FLAIRS Conference (2020)
Joschka Kersting, Michaela Geierhos
What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-service Providers. ICPRAM (2020)
Bianca Buff, Joschka Kersting, Michaela Geierhos
Detection of Privacy Disclosure in the Medical Domain: A Survey. ICPRAM (2020)
Frederik Simon Bäumer, Joschka Kersting, Bianca Buff, Michaela Geierhos
Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging. ICIST (2020)
Joschka Kersting, Michaela Geierhos
Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. ICAART (1) (2020)
Joschka Kersting, Frederik Simon Bäumer, Michaela Geierhos
In Reviews We Trust: But Should We? Experiences with Physician Review Websites. IoTBDS (2019)
Frederik Simon Bäumer, Joschka Kersting, Michaela Geierhos
Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches. Comput. 8 (1) (2019)
Frederik Simon Bäumer, Bianca Buff, Michaela Geierhos
Potentielle Privatsphäreverletzungen aufdecken und automatisiert sichtbar machen. DHd (2019)
Frederik Simon Bäumer, Michaela Geierhos
How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges. NLDB (2018)
Frederik Simon Bäumer, Joschka Kersting, Vytautas Kurselis, Michaela Geierhos
Rate Your Physician: Findings from a Lithuanian Physician Rating Website. ICIST (2018)
Frederik Simon Bäumer, Michaela Geierhos
NLP in OTF Computing: Current Approaches and Open Challenges. ICIST (2018)
Frederik Simon Bäumer, Michaela Geierhos
How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas. REFSQ Workshops (2018)
Frederik Simon Bäumer, Michaela Geierhos
Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-Based Configuration of Text Analysis Pipelines. HICSS (2018)
Edwin Friesen, Frederik Simon Bäumer, Michaela Geierhos
CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface. REFSQ Workshops (2018)
Matthew Caron, Frederik Simon Bäumer, Michaela Geierhos
Back to Basics: Extracting Software Requirements with a Syntactic Approach. REFSQ Workshops (2018)
Frederik Simon Bäumer, Joschka Kersting, Matthias Orlikowski, Michaela Geierhos
Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews. SEMANTiCS Posters&Demos (2018)
Joschka Kersting, Michaela Geierhos, Hanmin Jung, Taehong Kim
Internet of Things Architecture for Handling Stream Air Pollution Data. IoTBDS (2017)
Frederik Simon Bäumer, Markus Dollmann, Michaela Geierhos
Studying software descriptions in SourceForge and app stores for a better understanding of real-life requirements. WAMA@ESEC/SIGSOFT FSE (2017)
Lorijn van Rooijen, Frederik Simon Bäumer, Marie Christin Platenius, Michaela Geierhos, Heiko Hamann, Gregor Engels
From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process. RE Workshops (2017)
Joschka Kersting, Michaela Geierhos
Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach. ICIST (2017)
Nina Seemann, Marie-Luis Merten, Michaela Geierhos, Doris Tophinke, Eyke Hüllermeier
Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German. LaTeCH@ACL (2017)
Frederik Simon Bäumer, Nicolai Grote, Joschka Kersting, Michaela Geierhos
Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews. ICIST (2017)
Michaela Geierhos, Frederik Simon Bäumer
How to Complete Customer Requirements - Using Concept Expansion for Requirement Refinement. NLDB (2016)
Sophia Stotz, Michaela Geierhos
Wie verhalten sich Aktionäre bei Unternehmenszusammenschlüssen? Modellierung sprachlicher Muster zur Analyse treibender Faktoren bei der Berichterstattung. DHd (2016)
Markus Dollmann, Michaela Geierhos
On- and Off-Topic Classification and Semantic Annotation of User-Generated Software Requirements. EMNLP (2016)
Frederik Simon Bäumer, Michaela Geierhos
Running Out of Words: How Similar User Stories Can Help to Elaborate Individual Natural Language Requirement Descriptions. ICIST (2016)
Michaela Geierhos, Frederik Simon Bäumer, Sabine Schulze, Valentina Stuß
"I grade what I get but write what I think." Inconsistency Analysis in Patients' Reviews. ECIS (2015)
Michaela Geierhos, Frederik Simon Bäumer, Sabine Schulze, Caterina Klotz
Understanding the Patient 2.0 - Gaining Insight into Patients' Rating Behavior by User-Generated Physician Review Mining. CONTEXT (2015)
Michaela Geierhos, Frederik Simon Bäumer, Sabine Schulze, Valentina Stuß
Filtering Reviews by Random Individual Error. IEA/AIE (2015)
Michaela Geierhos, Frederik Simon Bäumer
Erfahrungsberichte aus zweiter Hand: Erkenntnisse über die Autorschaft von Arztbewertungen in Online-Portalen. DHd (2015)
Frederik Simon Bäumer, Michaela Geierhos, Sabine Schulze
A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews. ICIST (2015)
Valentina Stuß, Michaela Geierhos
Identifikation kognitiver Effekte in Online-Bewertungen. DHd (2015)
Frederik Simon Bäumer, Markus Dollmann, Michaela Geierhos
Find a Physician by Matching Medical Needs Described in your Own Words. EUSPN/ICTH (2015)
Michaela Geierhos, Sabine Schulze, Frederik Simon Bäumer
What Did You Mean? - Facing the Challenges of User-generated Software Requirements. ICAART (1) (2015)
Jens Weber, Min-Hee Cho, Mikyoung Lee, Sa-Kwang Song, Michaela Geierhos, Hanmin Jung
System Thinking: Crafting Scenarios for Prescriptive Analytics. IPaMin@KONVENS (2014)
Frederik Simon Bäumer, Jangwon Gim, Do-Heon Jeong, Michaela Geierhos, Hanmin Jung
Linked Open Data System for Scientific Data Sets. IPaMin@KONVENS (2014)
Yeong Su Lee, Michaela Geierhos
Buy, Sell, or Hold? Information Extraction from Stock Analyst Reports. CONTEXT (2011)
Yeong Su Lee, Michaela Geierhos
Business Specific Online Information Extraction from German Websites. CICLing (2009)
Yeong Su Lee, Michaela Geierhos
Key Expression driven Record Mining for Event Calendar Search. LWA (2009)
Michaela Geierhos, Olivier Blanc, Sandra Bsiri
RELAX - Extractino of Semantic Relations in Biographical Contexts. Trait. Autom. des Langues 49 (1) (2008)
Sandra Bsiri, Michaela Geierhos
Informationsextraktion aus Stellenanzeigen im Internet. LWA (2007)