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Michaela Geierhos

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affiliation: Bundeswehr University Munich, Research Institute CODE, Germany

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2020 – today

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2024
[c57]
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Ana Cimitan, Ana Alves-Pinto, Michaela Geierhos:
Curation of Benchmark Templates for Measuring Gender Bias in Named Entity Recognition Models. LREC/COLING 2024: 4238-4246
[c56]
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Moritz Hennen, Florian Babl, Michaela Geierhos:
ITER: Iterative Transformer-based Entity Recognition and Relation Extraction. EMNLP (Findings) 2024: 11209-11223
[c55]
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Fabian Winkel, Michaela Geierhos, Josef Fink:
Evaluating Embedding Models for Retrieving ESG Information from Annual Business Reports. ICIS 2024
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  - journals/corr/abs-2403-02875
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Philipp Jonas Rösch, Norbert Oswald, Michaela Geierhos, Jindrich Libovický:
Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples. CoRR abs/2403.02875 (2024)
2023
[j6]
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Nina Seemann, Yeong Su Lee, Julian Höllig, Michaela Geierhos:
Generalizability of Abusive Language Detection Models on Homogeneous German Datasets. Datenbank-Spektrum 23(1): 15-25 (2023)
[j5]
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Joschka Kersting, Falk Maoro, Michaela Geierhos:
Towards comparable ratings: Exploring bias in German physician reviews. Data Knowl. Eng. 148: 102235 (2023)
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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): 1561-1585 (2023)
[j3]
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Andreas Meißner, Andreas Fröhlich, Michaela Geierhos:
Keep It Simple: Evaluating Local Search-Based Latent Space Editing. SN Comput. Sci. 4(6): 820 (2023)
[c54]
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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: 158-171
[c53]
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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: 159-169
[c52]
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Falk Maoro, Benjamin Vehmeyer, Michaela Geierhos:
Leveraging Semantic Search and LLMs for Domain-Adaptive Information Retrieval. ICIST 2023: 148-159
2022
[c51]
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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: 444-455
[c50]
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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: 629-648
[c49]
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Joschka Kersting, Michaela Geierhos:
Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews. DATA (Revised Selected Papers) 2022: 45-65
[c48]
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Joschka Kersting, Mobeen Ahmed, Michaela Geierhos:
Chatbot-Enhanced Requirements Resolution for Automated Service Compositions. HCI (37) 2022: 419-426
[c47]
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Andreas Meißner, Andreas Fröhlich, Michaela Geierhos:
Keep It Simple: Local Search-based Latent Space Editing. IJCCI 2022: 273-283
[e1]
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Michaela Geierhos:
8. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, DHd 2022, Potsdam, Germany, March 7 - 11, 2022. 2022 [contents]
2021
[c46]
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Julian Höllig, Yeong Su Lee, Nina Seemann, Michaela Geierhos:
Effective Detection of Hate Speech Spreaders on Twitter. CLEF (Working Notes) 2021: 1976-1986
[c45]
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Joschka Kersting, Michaela Geierhos:
Well-Being in Plastic Surgery: Deep Learning Reveals Patients' Evaluations. DATA 2021: 275-284
[c44]
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Tim Mittermeier, Matthias Frank, Sabine Ullrich, Gabi Dreo Rodosek, Michaela Geierhos:
A Multimodal Mixed Reality Data Exploration Framework for Tactical Decision Making. ICMCIS 2021: 1-8
[c43]
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Antonia Adler, Michaela Geierhos, Eleanor Hobley:
Influence of Training Data on the Invertability of Neural Networks for Handwritten Digit Recognition. ICMLA 2021: 730-737
[c42]
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Sabine Ullrich, Michaela Geierhos:
Using Bloom's Taxonomy to Classify Question Complexity. ICNLSP 2021: 273-277
[c41]
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Julian Höllig, Philipp Dufter, Michaela Geierhos, Wolfgang Ziegler, Hinrich Schütze:
Semantic Text Segment Classification of Structured Technical Content. NLDB 2021: 165-177
[c40]
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Joschka Kersting, Michaela Geierhos:
Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting. NLDB 2021: 231-242
[i1]
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  - journals/corr/abs-2105-07270
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Marie-Luis Merten, Marcel Wever, Michaela Geierhos, Doris Tophinke, Eyke Hüllermeier:
Annotation Uncertainty in the Context of Grammatical Change. CoRR abs/2105.07270 (2021)
2020
[c39]
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Joschka Kersting, Michaela Geierhos:
Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis. FLAIRS 2020: 282-285
[c38]
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Joschka Kersting, Michaela Geierhos:
Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. ICAART (1) 2020: 391-400
[c37]
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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: 368-382
[c36]
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Joschka Kersting, Michaela Geierhos:
What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-service Providers. ICPRAM 2020: 263-272
[c35]
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Bianca Buff, Joschka Kersting, Michaela Geierhos:
Detection of Privacy Disclosure in the Medical Domain: A Survey. ICPRAM 2020: 630-637

2010 – 2019

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2019
[j2]
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Frederik Simon Bäumer, Joschka Kersting, Michaela Geierhos:
Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches. Comput. 8(1): 22 (2019)
[c34]
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Frederik Simon Bäumer, Bianca Buff, Michaela Geierhos:
Potentielle Privatsphäreverletzungen aufdecken und automatisiert sichtbar machen. DHd 2019
[c33]
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Joschka Kersting, Frederik Simon Bäumer, Michaela Geierhos:
In Reviews We Trust: But Should We? Experiences with Physician Review Websites. IoTBDS 2019: 147-155
2018
[c32]
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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: 1-10
[c31]
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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
[c30]
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Frederik Simon Bäumer, Joschka Kersting, Vytautas Kurselis, Michaela Geierhos:
Rate Your Physician: Findings from a Lithuanian Physician Rating Website. ICIST 2018: 43-58
[c29]
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Frederik Simon Bäumer, Michaela Geierhos:
NLP in OTF Computing: Current Approaches and Open Challenges. ICIST 2018: 559-570
[c28]
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Frederik Simon Bäumer, Michaela Geierhos:
How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges. NLDB 2018: 509-513
[c27]
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Frederik Simon Bäumer, Michaela Geierhos:
How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas. REFSQ Workshops 2018
[c26]
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Matthew Caron, Frederik Simon Bäumer, Michaela Geierhos:
Back to Basics: Extracting Software Requirements with a Syntactic Approach. REFSQ Workshops 2018
[c25]
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Edwin Friesen, Frederik Simon Bäumer, Michaela Geierhos:
CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface. REFSQ Workshops 2018
2017
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Frederik Simon Bäumer, Nicolai Grote, Joschka Kersting, Michaela Geierhos:
Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews. ICIST 2017: 77-89
[c23]
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Joschka Kersting, Michaela Geierhos:
Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach. ICIST 2017: 528-538
[c22]
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Joschka Kersting, Michaela Geierhos, Hanmin Jung, Taehong Kim:
Internet of Things Architecture for Handling Stream Air Pollution Data. IoTBDS 2017: 117-124
[c21]
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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: 40-45
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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: 379-385
[c19]
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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: 19-25
2016
[c18]
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Sophia Stotz, Michaela Geierhos:
Wie verhalten sich Aktionäre bei Unternehmenszusammenschlüssen? Modellierung sprachlicher Muster zur Analyse treibender Faktoren bei der Berichterstattung. DHd 2016
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Markus Dollmann, Michaela Geierhos:
On- and Off-Topic Classification and Semantic Annotation of User-Generated Software Requirements. EMNLP 2016: 1807-1816
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Frederik Simon Bäumer, Michaela Geierhos:
Running Out of Words: How Similar User Stories Can Help to Elaborate Individual Natural Language Requirement Descriptions. ICIST 2016: 549-558
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Michaela Geierhos, Frederik Simon Bäumer:
How to Complete Customer Requirements - Using Concept Expansion for Requirement Refinement. NLDB 2016: 37-47
2015
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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: 159-171
[c13]
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Michaela Geierhos, Frederik Simon Bäumer:
Erfahrungsberichte aus zweiter Hand: Erkenntnisse über die Autorschaft von Arztbewertungen in Online-Portalen. DHd 2015
[c12]
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Valentina Stuß, Michaela Geierhos:
Identifikation kognitiver Effekte in Online-Bewertungen. DHd 2015
[c11]
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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
[c10]
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  - conf/euspn/BaumerDG15
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Frederik Simon Bäumer, Markus Dollmann, Michaela Geierhos:
Find a Physician by Matching Medical Needs Described in your Own Words. EUSPN/ICTH 2015: 417-424
[c9]
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Michaela Geierhos, Sabine Schulze, Frederik Simon Bäumer:
What Did You Mean? - Facing the Challenges of User-generated Software Requirements. ICAART (1) 2015: 277-283
[c8]
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Frederik Simon Bäumer, Michaela Geierhos, Sabine Schulze:
A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews. ICIST 2015: 3-15
[c7]
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Michaela Geierhos, Frederik Simon Bäumer, Sabine Schulze, Valentina Stuß:
Filtering Reviews by Random Individual Error. IEA/AIE 2015: 305-315
2014
[c6]
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  - conf/konvens/BaumerGJGJ14
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Frederik Simon Bäumer, Jangwon Gim, Do-Heon Jeong, Michaela Geierhos, Hanmin Jung:
Linked Open Data System for Scientific Data Sets. IPaMin@KONVENS 2014
[c5]
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Jens Weber, Min-Hee Cho, Mikyoung Lee, Sa-Kwang Song, Michaela Geierhos, Hanmin Jung:
System Thinking: Crafting Scenarios for Prescriptive Analytics. IPaMin@KONVENS 2014
2011
[c4]
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  - conf/context/LeeG11
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Yeong Su Lee, Michaela Geierhos:
Buy, Sell, or Hold? Information Extraction from Stock Analyst Reports. CONTEXT 2011: 173-184

2000 – 2009

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2009
[c3]
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Yeong Su Lee, Michaela Geierhos:
Business Specific Online Information Extraction from German Websites. CICLing 2009: 369-381
[c2]
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Yeong Su Lee, Michaela Geierhos:
Key Expression driven Record Mining for Event Calendar Search. LWA 2009: KDML:68-71
2008
[j1]
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Michaela Geierhos, Olivier Blanc, Sandra Bsiri:
RELAX - Extractino of Semantic Relations in Biographical Contexts. Trait. Autom. des Langues 49(1): 167-190 (2008)
2007
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Sandra Bsiri, Michaela Geierhos:
Informationsextraktion aus Stellenanzeigen im Internet. LWA 2007: 229-236

Coauthor Index

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