Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining
J. Kersting, Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining, Universität der Bundeswehr München , Neubiberg, 2023.

Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews
J. Kersting, M. Geierhos, in: A. Cuzzocrea, O. Gusikhin, S. Hammoudi, C. Quix (Eds.), Data Management Technologies and Applications, Springer Nature Switzerland, Cham, 2023, pp. 45–65.

Chatbot-Enhanced Requirements Resolution for Automated Service Compositions
J. Kersting, M. Ahmed, M. Geierhos, in: C. Stephanidis, M. Antona, S. Ntoa (Eds.), HCI International 2022 Posters, Springer International Publishing, Cham, Switzerland, 2022, pp. 419--426.

Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks
J. Kersting, M. Geierhos, in: R. Loukanova (Ed.), Natural Language Processing in Artificial Intelligence -- NLPinAI 2020, Springer, Cham, 2021, pp. 163--189.

Well-being in Plastic Surgery: Deep Learning Reveals Patients' Evaluations
J. Kersting, M. Geierhos, in: Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), SCITEPRESS, Online, 2021, pp. 275--284.

Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting
J. Kersting, M. Geierhos, in: E. Kapetanios, H. Horacek, E. Métais, F. Meziane (Eds.), Natural Language Processing and Information Systems, Springer, Saarbrücken, Germany, 2021, pp. 231--242.

Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P News Tagging
F.S. Bäumer, J. Kersting, B. Buff, M. Geierhos, in: L. Audrius, B. Rita, G. Daina, S. Vilma (Eds.), Information and Software Technologies, Springer, 2020, pp. 368--382.

SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH
J. Kersting, F.S. Bäumer, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.

Aspect Phrase Extraction in Sentiment Analysis with Deep Learning
J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 391--400.

Detection of Privacy Disclosure in the Medical Domain: A Survey
B. Buff, J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 630--637.

Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis
J. Kersting, M. Geierhos, in: Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, AAAI, North Miami Beach, FL, USA, 2020, pp. 282--285.

What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers
J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS, Setúbal, Portugal, 2020, pp. 263--272.

Requirements Engineering in OTF-Computing
F.S. Bäumer, M. Geierhos, in: Encyclopedia.Pub, MDPI, Basel, Switzerland, 2019.

Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches
F.S. Bäumer, J. Kersting, M. Geierhos, Computers 8 (2019).

UPB-Annotate: Ein maßgeschneidertes Toolkit fur historische Texte
N. Seemann, M.-L. Merten, in: P. Sahle (Ed.), DHd 2019 Digital Humanities: multimedial &; multimodal. Konferenzabstracts, Zenodo, Frankfurt am Main, Germany, 2019, pp. 352–353.

Potentielle Privatsphareverletzungen aufdecken und automatisiert sichtbar machen
F.S. Bäumer, B. Buff, M. Geierhos, in: P. Sahle (Ed.), DHd 2019 Digital Humanities: multimedial &; multimodal. Konferenzabstracts, Zenodo, Frankfurt am Main, Germany, 2019, pp. 192–193.

In Reviews We Trust: But Should We? Experiences with Physician Review Websites
J. Kersting, F.S. Bäumer, M. Geierhos, in: M. Ramachandran, R. Walters, G. Wills, V. Mendez Munoz, V. Chang (Eds.), Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, SCITEPRESS, Setúbal, Portugal, 2019, pp. 147–155.

How to Boost Customer Relationship Management via Web Mining Benefiting from the Glass Customer’s Openness
F.S. Bäumer, B. Buff, in: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019.

Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis
E. Friesen, Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis, Universität Paderborn, 2019.

How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges
F.S. Bäumer, M. Geierhos, in: M. Silberztein, F. Atigui, E. Kornyshova, E. Métais, F. Meziane (Eds.), Proceedings of the 23rd International Conference on Natural Language and Information Systems, Springer, Cham, Switzerland, 2018, pp. 509–513.

Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure
Y. Kim, S. Lee, M. Dollmann, M. Geierhos, International Journal of Advanced Science and Technology 112 (2018) 123–136.

Freiraum zur individuellen Reflexion gemeinsamer Werte
M. Geierhos, in: K.B. Schnebel, A. Taubenböck (Eds.), Integration und Toleranz, 1st ed., Klemm+Oelschläger, Ulm, Germany, 2018, pp. 288–292.

Rate Your Physician: Findings from a Lithuanian Physician Rating Website
F.S. Bäumer, J. Kersting, V. Kurselis, M. Geierhos, in: R. Damasevidius, G. Vasiljevien (Eds.), Communications in Computer and Information Science, Springer, Cham, Switzerland, 2018, pp. 43–58.

NLP in OTF Computing: Current Approaches and Open Challenges
F.S. Bäumer, M. Geierhos, in: R. Damasevidius, G. Vasiljevien (Eds.), Proceedings of the 24th International Conference on Information and Software Technologies (ICIST 2018), Springer, Cham, Switzerland, 2018, pp. 559–570.

Text Broom: A ML-based Tool to Detect and Highlight Privacy Breaches in Physician Reviews: An Insight into Our Current Work
F.S. Bäumer, M. Geierhos, in: European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts, 2018.

Analysing Constructional Change: Linguistic Annotation and Sources of Uncertainty
M.-L. Merten, N. Seemann, in: F.J. García-Peñalvo (Ed.), Proceedings of the 6th International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM’18), ACM, New York, NY, USA, 2018, pp. 819–825.

Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews
F.S. Bäumer, J. Kersting, M. Orlikowski, M. Geierhos, in: A. Khalili, M. Koutraki (Eds.), Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems Co-Located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018), CEUR-WS.org, 2018.

Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines
F.S. Bäumer, M. Geierhos, in: Proceedings of the 51st Hawaii International Conference on System Sciences, 2018, pp. 5746–5755.

Unschärfe bei der Interpretation natürlichsprachlicher Anforderungsbeschreibungen
M. Geierhos, in: S. Freitag, M. Geierhos, R. Asmani, J.I. Haug (Eds.), Unschärfe - Der Umgang mit fehlender Eindeutigkeit, 1st ed., Ferdinand Schöningh, Paderborn, Germany, 2018, pp. 111–128.

How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas
F.S. Bäumer, M. Geierhos, in: K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, P. Forbrig, X. Franch, M. Kirikova, N. Madhavji, C. Palomares, J. Ralyté, M. Sabetzadeh, P. Sawyer, D. van der Linden, A. Zamansky (Eds.), Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), CEUR-WS.org, 2018.

CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface
E. Friesen, F.S. Bäumer, M. Geierhos, in: K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, P. Forbrig, X. Franch, M. Kirikova, N. Madhavji, C. Palomares, J. Ralyté, M. Sabetzadeh, P. Sawyer, D. van der Linden, A. Zamansky (Eds.), Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), CEUR-WS.org, 2018.

Back to Basics: Extracting Software Requirements with a Syntactic Approach
M. Caron, F.S. Bäumer, M. Geierhos, in: K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, P. Forbrig, X. Franch, M. Kirikova, N. Madhavji, C. Palomares, J. Ralyté, M. Sabetzadeh, P. Sawyer, D. van der Linden, A. Zamansky (Eds.), Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), CEUR-WS.org, 2018.

Supporting the Cognitive Process in Annotation Tasks
N. Seemann, M. Geierhos, M.-L. Merten, D. Tophinke, M.D. Wever, E. Hüllermeier, in: K. Eckart, D. Schlechtweg (Eds.), Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, 2018.

Internet of Things Architecture for Handling Stream Air Pollution Data
J. Kersting, M. Geierhos, H. Jung, T. Kim, in: M. Ramachandran, V. Méndez Muñoz, V. Kantere, G. Wills, R. Walters, V. Chang (Eds.), Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security, SCITEPRESS, Setúbal, Portugal, 2017, pp. 117–124.

Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German
N. Seemann, M.-L. Merten, M. Geierhos, D. Tophinke, E. Hüllermeier, in: Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, Association for Computational Linguistics (ACL), Stroudsburg, PA, USA, 2017, pp. 40–45.

Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach
J. Kersting, M. Geierhos, in: R. Damasevidius, V. Mikasyt (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, Springer, Cham, Switzerland, 2017, pp. 528–538.

Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews
F.S. Bäumer, N. Grote, J. Kersting, M. Geierhos, in: R. Damasevidius, V. Mikasyt (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, Springer, Cham, Switzerland, 2017, pp. 77–89.

Guesswork? Resolving Vagueness in User-Generated Software Requirements
M. Geierhos, F.S. Bäumer, in: H. Christiansen, M.D. Jiménez-López, R. Loukanova, L.S. Moss (Eds.), Partiality and Underspecification in Information, Languages, and Knowledge, 1st ed., Cambridge Scholars Publishing, Newcastle upon Tyne, UK, 2017, pp. 65–108.

Studying Software Descriptions in SourceForge and App Stores for a better Understanding of real-life Requirements
F.S. Bäumer, M. Dollmann, M. Geierhos, in: F. Sarro, E. Shihab, M. Nagappan, M.C. Platenius, D. Kaimann (Eds.), Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics, ACM, New York, NY, USA, 2017, pp. 19–25.

Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen
F.S. Bäumer, Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollständig beschriebenen Softwareanforderungen, Universität Paderborn, 2017.

From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process
L. van Rooijen, F.S. Bäumer, M.C. Platenius, M. Geierhos, H. Hamann, G. Engels, in: 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW), IEEE, Piscataway, NJ, USA, 2017, pp. 379–385.

Semantic Annotation of Software Requirements with Language Frame
Y.-S. Kim, S.-W. Lee, M. Dollmann, M. Geierhos, International Journal of Software Engineering for Smart Device 4 (2017) 1–6.

Wie verhalten sich Aktionäre bei Unternehmenszusammenschlüssen? Modellierung sprachlicher Muster zur Analyse treibender Faktoren bei der Berichterstattung
S. Stotz, M. Geierhos, in: DHd 2016: Modellierung - Vernetzung - Visualisierung. Die Digital Humanities als fächerübergreifendes Forschungsparadigma. Konferenzabstracts, Universität Leipzig,  7. bis 12. März 2016, Nisaba-Verlag, Duisburg, Germany, 2016, pp. 378–381.

Webmonitoring
M. Geierhos, in: N. Gronau, J. Becker, E. Sinz, L. Suhl, J.M. Leimeister (Eds.), Enzyklopädie der Wirtschaftsinformatik, 9th ed., GITO-Verlag, Berlin, Germany, 2016.

Sentimentanalyse
M. Geierhos, in: N. Gronau, J. Becker, E. Sinz, L. Suhl, J.M. Leimeister (Eds.), Enzyklopädie der Wirtschaftsinformatik, 9th ed., GITO-Verlag, Berlin, Germany, 2016.

Text Mining
M. Geierhos, in: N. Gronau, J. Becker, E. Sinz, L. Suhl, J.M. Leimeister (Eds.), Enzyklopädie der Wirtschaftsinformatik, 9th ed., GITO-Verlag, Berlin, Germany, 2016.

Crawler (fokussiert / nicht fokussiert)
M. Geierhos, in: N. Gronau, J. Becker, E. Sinz, L. Suhl, J.M. Leimeister (Eds.), Enzyklopädie der Wirtschaftsinformatik, 9th ed., GITO-Verlag, Berlin, Germany, 2016.

On- and Off-Topic Classification and Semantic Annotation of User-Generated Software Requirements
M. Dollmann, M. Geierhos, in: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics (ACL), Austin, TX, USA, 2016, pp. 1807–1816.

How to Complete Customer Requirements: Using Concept Expansion for Requirement Refinement
M. Geierhos, F.S. Bäumer, in: E. Métais, F. Meziane, M. Saraee, V. Sugumaran, S. Vadera (Eds.), Proceedings of the 21st International Conference on Applications of Natural Language to Information Systems (NLDB), Springer, Cham, Switzerland, 2016, pp. 37–47.

Running out of Words: How Similar User Stories Can Help to Elaborate Individual Natural Language Requirement Descriptions
F.S. Bäumer, M. Geierhos, in: G. Dregvaite, R. Damasevicius (Eds.), Proceedings of the 22nd International Conference on Information and Software Technologies (ICIST), Springer, Cham, Switzerland, 2016, pp. 549–558.