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Michaela Geierhos
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- affiliation: Bundeswehr University Munich, Research Institute CODE, Germany
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2020 – today
- 2024
- [c55]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 - [i2]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]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]Joschka Kersting, Falk Maoro
, Michaela Geierhos:
Towards comparable ratings: Exploring bias in German physician reviews. Data Knowl. Eng. 148: 102235 (2023) - [j4]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]Andreas Meißner, Andreas Fröhlich, Michaela Geierhos
:
Keep It Simple: Evaluating Local Search-Based Latent Space Editing. SN Comput. Sci. 4(6): 820 (2023) - [c54]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]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]Falk Maoro
, Benjamin Vehmeyer
, Michaela Geierhos
:
Leveraging Semantic Search and LLMs for Domain-Adaptive Information Retrieval. ICIST 2023: 148-159 - 2022
- [c51]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]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]Joschka Kersting, Michaela Geierhos:
Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews. DATA (Revised Selected Papers) 2022: 45-65 - [c48]Joschka Kersting, Mobeen Ahmed, Michaela Geierhos:
Chatbot-Enhanced Requirements Resolution for Automated Service Compositions. HCI (37) 2022: 419-426 - [c47]Andreas Meißner, Andreas Fröhlich, Michaela Geierhos:
Keep It Simple: Local Search-based Latent Space Editing. IJCCI 2022: 273-283 - [e1]Michaela Geierhos:
8. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, DHd 2022, Potsdam, Germany, March 7 - 11, 2022. 2022 [contents] - 2021
- [c46]Julian Höllig, Yeong Su Lee, Nina Seemann, Michaela Geierhos:
Effective Detection of Hate Speech Spreaders on Twitter. CLEF (Working Notes) 2021: 1976-1986 - [c45]Joschka Kersting, Michaela Geierhos:
Well-Being in Plastic Surgery: Deep Learning Reveals Patients' Evaluations. DATA 2021: 275-284 - [c44]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]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]Sabine Ullrich, Michaela Geierhos:
Using Bloom's Taxonomy to Classify Question Complexity. ICNLSP 2021: 273-277 - [c41]Julian Höllig, Philipp Dufter, Michaela Geierhos, Wolfgang Ziegler, Hinrich Schütze:
Semantic Text Segment Classification of Structured Technical Content. NLDB 2021: 165-177 - [c40]Joschka Kersting, Michaela Geierhos:
Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting. NLDB 2021: 231-242 - [i1]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]Joschka Kersting, Michaela Geierhos:
Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis. FLAIRS 2020: 282-285 - [c38]Joschka Kersting, Michaela Geierhos:
Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. ICAART (1) 2020: 391-400 - [c37]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]Joschka Kersting, Michaela Geierhos:
What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-service Providers. ICPRAM 2020: 263-272 - [c35]Bianca Buff, Joschka Kersting, Michaela Geierhos:
Detection of Privacy Disclosure in the Medical Domain: A Survey. ICPRAM 2020: 630-637
2010 – 2019
- 2019
- [j2]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]Frederik Simon Bäumer, Bianca Buff, Michaela Geierhos:
Potentielle Privatsphäreverletzungen aufdecken und automatisiert sichtbar machen. DHd 2019 - [c33]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]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]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]Frederik Simon Bäumer
, Joschka Kersting, Vytautas Kurselis, Michaela Geierhos
:
Rate Your Physician: Findings from a Lithuanian Physician Rating Website. ICIST 2018: 43-58 - [c29]Frederik Simon Bäumer
, Michaela Geierhos
:
NLP in OTF Computing: Current Approaches and Open Challenges. ICIST 2018: 559-570 - [c28]Frederik Simon Bäumer
, Michaela Geierhos
:
How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges. NLDB 2018: 509-513 - [c27]Frederik Simon Bäumer, Michaela Geierhos:
How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas. REFSQ Workshops 2018 - [c26]Matthew Caron, Frederik Simon Bäumer, Michaela Geierhos:
Back to Basics: Extracting Software Requirements with a Syntactic Approach. REFSQ Workshops 2018 - [c25]Edwin Friesen, Frederik Simon Bäumer, Michaela Geierhos:
CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface. REFSQ Workshops 2018 - 2017
- [c24]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]Joschka Kersting, Michaela Geierhos
:
Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach. ICIST 2017: 528-538 - [c22]Joschka Kersting, Michaela Geierhos
, Hanmin Jung, Taehong Kim
:
Internet of Things Architecture for Handling Stream Air Pollution Data. IoTBDS 2017: 117-124 - [c21]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 - [c20]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]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]Sophia Stotz, Michaela Geierhos:
Wie verhalten sich Aktionäre bei Unternehmenszusammenschlüssen? Modellierung sprachlicher Muster zur Analyse treibender Faktoren bei der Berichterstattung. DHd 2016 - [c17]Markus Dollmann, Michaela Geierhos
:
On- and Off-Topic Classification and Semantic Annotation of User-Generated Software Requirements. EMNLP 2016: 1807-1816 - [c16]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 - [c15]Michaela Geierhos
, Frederik Simon Bäumer
:
How to Complete Customer Requirements - Using Concept Expansion for Requirement Refinement. NLDB 2016: 37-47 - 2015
- [c14]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]Michaela Geierhos, Frederik Simon Bäumer:
Erfahrungsberichte aus zweiter Hand: Erkenntnisse über die Autorschaft von Arztbewertungen in Online-Portalen. DHd 2015 - [c12]Valentina Stuß, Michaela Geierhos:
Identifikation kognitiver Effekte in Online-Bewertungen. DHd 2015 - [c11]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]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]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]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]Michaela Geierhos
, Frederik Simon Bäumer
, Sabine Schulze, Valentina Stuß:
Filtering Reviews by Random Individual Error. IEA/AIE 2015: 305-315 - 2014
- [c6]Frederik Simon Bäumer, Jangwon Gim, Do-Heon Jeong, Michaela Geierhos, Hanmin Jung:
Linked Open Data System for Scientific Data Sets. IPaMin@KONVENS 2014 - [c5]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]Yeong Su Lee, Michaela Geierhos
:
Buy, Sell, or Hold? Information Extraction from Stock Analyst Reports. CONTEXT 2011: 173-184
2000 – 2009
- 2009
- [c3]Yeong Su Lee, Michaela Geierhos
:
Business Specific Online Information Extraction from German Websites. CICLing 2009: 369-381 - [c2]Yeong Su Lee, Michaela Geierhos:
Key Expression driven Record Mining for Event Calendar Search. LWA 2009: KDML:68-71 - 2008
- [j1]Michaela Geierhos, Olivier Blanc, Sandra Bsiri:
RELAX - Extractino of Semantic Relations in Biographical Contexts. Trait. Autom. des Langues 49(1): 167-190 (2008) - 2007
- [c1]Sandra Bsiri, Michaela Geierhos:
Informationsextraktion aus Stellenanzeigen im Internet. LWA 2007: 229-236
Coauthor Index
aka: Frederik Simon Bäumer
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last updated on 2024-08-05 21:16 CEST by the dblp team
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