Bäumer, F. S., Chen, W.-F., Geierhos, M., Kersting, J., &; Wachsmuth, H. (2023). Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, &; H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 65–84). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8068456 

Kersting, J., &; Geierhos, M. (2023). Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews. In A. Cuzzocrea, O. Gusikhin, S. Hammoudi, &; C. Quix (Eds.), Data Management Technologies and Applications (Vol. 1860, pp. 45–65). Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-37890-4_3 

Kersting, J., Ahmed, M., &; Geierhos, M. (2022). Chatbot-Enhanced Requirements Resolution for Automated Service Compositions. In C. Stephanidis, M. Antona, &; S. Ntoa (Eds.), HCI International 2022 Posters (Vol. 1580, pp. 419--426). Springer International Publishing.https://doi.org/10.1007/978-3-031-06417-3_56 

Bäumer, F. S., Kersting, J., Denisov, S., &; Geierhos, M. (2021). IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING. PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, 221--225.

Kersting, J., &; Geierhos, M. (2021). Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks. In R. Loukanova (Ed.), Natural Language Processing in Artificial Intelligence -- NLPinAI 2020 (Vol. 939, pp. 163--189). Cham: Springer.https://doi.org/10.1007/978-3-030-63787-3_6 

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

Kersting, J., &; Geierhos, M. (2021). Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting. In E. Kapetanios, H. Horacek, E. Métais, &; F. Meziane (Eds.), Natural Language Processing and Information Systems (Vol. 12801, pp. 231--242). Springer.

Bäumer, F. S., Kersting, J., Buff, B., &; Geierhos, M. (2020). Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P News Tagging. In L. Audrius, B. Rita, G. Daina, &; S. Vilma (Eds.), Information and Software Technologies (Vol. 1283, pp. 368--382). Kaunas, Litauen: Springer.https://doi.org/10.1007/978-3-030-59506-7_30 

Kersting, J., &; Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. 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) (pp. 391--400). Setúbal, Portugal: SCITEPRESS.

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

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

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

Bäumer, F. S., &; Geierhos, M. (2019). Requirements Engineering in OTF-Computing. In encyclopedia.pub. Basel, Switzerland: MDPI.

Bäumer, F. S., Kersting, J., &; Geierhos, M. (2019). Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches. Computers, 8(1).https://doi.org/10.3390/computers8010022 

Bäumer, F. S., Buff, B., &; Geierhos, M. (2019). Potentielle Privatsphareverletzungen aufdecken und automatisiert sichtbar machen. In P. Sahle (Ed.), DHd 2019 Digital Humanities: multimedial &; multimodal. Konferenzabstracts (pp. 192–193). Frankfurt am Main, Germany: Zenodo.https://doi.org/10.5281/zenodo.2596095 

Kersting, J., Bäumer, F. S., &; Geierhos, M. (2019). In Reviews We Trust: But Should We? Experiences with Physician Review Websites. 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 (pp. 147–155). Setúbal, Portugal: SCITEPRESS.

Bäumer, F. S., &; Geierhos, M. (2018). How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges. In M. Silberztein, F. Atigui, E. Kornyshova, E. Métais, &; F. Meziane (Eds.), Proceedings of the 23rd International Conference on Natural Language and Information Systems (Vol. 10859, pp. 509–513). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-91947-8_53 

Kim, Y., Lee, S., Dollmann, M., &; Geierhos, M. (2018). Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure. International Journal of Advanced Science and Technology, 112, 123–136.https://doi.org/10.14257/ijast.2018.112.12 

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

Bäumer, F. S., Kersting, J., Kurselis, V., &; Geierhos, M. (2018). Rate Your Physician: Findings from a Lithuanian Physician Rating Website. In R. Damasevidius &; G. Vasiljevien (Eds.), Communications in Computer and Information Science (Vol. 920, pp. 43–58). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-99972-2_4 

Bäumer, F. S., &; Geierhos, M. (2018). NLP in OTF Computing: Current Approaches and Open Challenges. In R. Damasevidius &; G. Vasiljevien (Eds.), Proceedings of the 24th International Conference on Information and Software Technologies (ICIST 2018) (Vol. 920, pp. 559–570). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-99972-2_46 

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

Bäumer, F. S., Kersting, J., Orlikowski, M., &; Geierhos, M. (2018). Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews. 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) (Vol. 2198). Vienna, Austria: CEUR-WS.org.

Bäumer, F. S., &; Geierhos, M. (2018). Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines. In Proceedings of the 51st Hawaii International Conference on System Sciences (pp. 5746–5755). Big Island, Waikoloa Village.https://doi.org/10125/50609 

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

Bäumer, F. S., &; Geierhos, M. (2018). How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas. In K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari,  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) (Vol. 2075). Utrecht, The Netherlands: CEUR-WS.org.

Friesen, E., Bäumer, F. S., &; Geierhos, M. (2018). CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface. In K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari,  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) (Vol. 2075). Utrecht, The Netherlands: CEUR-WS.org.

Caron, M., Bäumer, F. S., &; Geierhos, M. (2018). Back to Basics: Extracting Software Requirements with a Syntactic Approach. In K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari,  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) (Vol. 2075). Utrecht, The Netherlands: CEUR-WS.org.

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

Kersting, J., &; Geierhos, M. (2017).  Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach. In R. Damasevicius &; V.  Mikasyt, Vilma (Eds.),  Proceedings of the 23rd International Conference on Information and Software Technologies, Communications in Computer and Information Science (Vol. 756, pp. 528–538). Springer International Publishing.

Geierhos, M., &; Baeumer ,  Frederik Simon. (2017). Guesswork? Resolving Vagueness in User-Generated Software Requirements. In  Henning Christiansen, M. D. Jiménez -López, R. Loukanova, &; L. S.  Moss (Eds.), Partiality and Underspecification in Information, Languages, and Knowledge (pp. 65–108). Cambridge Scholars Publishing.

Baeumer, F. S., Dollmann, M., &; Geierhos, M. (2017). Studying Software Descriptions in SourceForge and App Stores for a better Understanding of real-life Requirements. In  Federica Sarro, E. Shihab,  Meiyappan Nagappan, M. C. Platenius, &;  Daniel Kaimann (Eds.), Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics (pp. 19–25). ACM.

Kersting, J., Geierhos, M., Jung, H., &; Kim, T. (2017). Internet of Things Architecture for Handling Stream Air Pollution Data. 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 (pp. 117–124). Setúbal, Portugal: SCITEPRESS.https://doi.org/10.5220/0006354801170124 

Seemann, N., Merten, M.-L., Geierhos, M., Tophinke, D., &; Hüllermeier, E. (2017). Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German. In Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (pp. 40–45). Stroudsburg, PA, USA: Association for Computational Linguistics (ACL).https://doi.org/10.18653/v1/W17-2206 

Kersting, J., &; Geierhos, M. (2017). Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach. In R. Damasevidius &; V. Mikasyt (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings (Vol. 756, pp. 528–538). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-67642-5 

Bäumer, F. S., Grote, N., Kersting, J., &; Geierhos, M. (2017). Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews. In R. Damasevidius &; V. Mikasyt (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings (Vol. 756, pp. 77–89). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-67642-5_7 

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

Bäumer, F. S., Dollmann, M., &; Geierhos, M. (2017). Studying Software Descriptions in SourceForge and App Stores for a better Understanding of real-life Requirements. 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 (pp. 19–25). New York, NY, USA: ACM.https://doi.org/10.1145/3121264.3121269 

van Rooijen, L., Bäumer, F. S., Platenius, M. C., Geierhos, M., Hamann, H., &; Engels, G. (2017). From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process. In 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW) (pp. 379–385). Piscataway, NJ, USA: IEEE.https://doi.org/10.1109/REW.2017.26 

Kim, Y.-S., Lee, S.-W., Dollmann, M., &; Geierhos, M. (2017). Semantic Annotation of Software Requirements with Language Frame. International Journal of Software Engineering for Smart Device, 4(2), 1–6.

Geierhos, M. (2016). Sentiment analysis . In  Norbert  Gronau, J.  "o rg  Becker, E. Sinz, L. Suhl, &; J. M. Leimeister (Eds.), Encyclopedia  "a the business informatics (9th ed.). GITO-Verlag.

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Geierhos, M. (2016). Crawler (focused / not focused). In  Norbert  Gronau, J.  "o rg Becker, E. Sinz,  L Suhl, &; J. M. Leimeister (Eds.), Encyclopedia  "a the business informatics  (9th ed.). GITO-Verlag.

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Baeumer, F. S., &; Geierhos, M. (2016). Running Out of Words: How Similar User Stories Can Help to Elaborate Individual Natural Language Requirement Descriptions. In G. Dregvaite &; R.  Damasevicius, Robertas (Eds.), Proceedings of the 22nd Conference on Information and Software Technologies (ICIST 2016) (Vol. 639, pp. 549–558). Springer International Publishing.

Geierhos, M., &; Baeumer,  Frederik Simon. (2016). How to Complete Customer Requirements Using Concept Expansion for Requirement Refinement. Proceedings of the 21st International Conference on Applications of Natural Language to Information Systems (NLDB 2016), 9612, 37–47.

Stotz, S. C., &; Geierhos, M. (2016). Wie verhalten sich Aktion\'22are bei Unternehmenszusammenschl\'22ussen? Modellierung sprachlicher Muster zur Analyse treibender Faktoren bei der Berichterstattung. In DHd 2016: Modellierung - Vernetzung - Visualisierung. Die Digital Humanities als f\'22acher\'22ubergreifendes Forschungsparadigma. Konferenzabstracts (pp. 378–381). Universit\'22at Leipzig.

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

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

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

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

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

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

Geierhos, M., &; Bäumer, F. S. (2016). How to Complete Customer Requirements: Using Concept Expansion for Requirement Refinement. 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) (Vol. 9612, pp. 37–47). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-41754-7_4 

Bäumer, F. S., &; Geierhos, M. (2016). Running out of Words: How Similar User Stories Can Help to Elaborate Individual Natural Language Requirement Descriptions. In G. Dregvaite &; R. Damasevicius (Eds.), Proceedings of the 22nd International Conference on Information and Software Technologies (ICIST) (Vol. 639, pp. 549–558). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-46254-7_44 

Baeumer, F. S., Geierhos, M., &; Schulze, S. (2015). A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews. In Information and Software Technologies: 21th International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015, Proceedings (1st ed., Vol. 538, pp. 3–15). Springer International Publishing.

Baeumer, F. S., Dollmann, M., &; Geierhos, M. (2015). Find a Physician by Matching Medical Needs described in your Own Words. 63, 417–424.

Geierhos, M.,  Baeumer,  Frederik Simon ,  Sabine, S., &; Valentina, S. (2015). Filtering Reviews by Random Individual Error. In M. Ali, Y. S. Kwon, C.-H. Lee, J. Kim, &; Y.  Kim (Eds.), Current Approaches in Applied Artificial Intelligence, Lecture Notes in Computer Science (Vol. 9101, pp. 305–315). Springer International Publishing Switzerland.

Geierhos, M., Baeumer,  Frederik Simon , Schulze, S., &; Stu\'73s,  Valentina. (2015). I grade what I get but write what I think." Inconsistency Analysis in Patients‘ Reviews. ECIS 2015 Completed Research Papers.

Geierhos, M., &; Stu\'73s, V. (2015). Identifikation kognitiver Effekte in Online-Bewertungen. 239–243.

Geierhos, M., &; Baeumer, F. S. (2015). Second-hand experience reports: Findings  "about the authorship of doctor reviews in online portals. 69–72.

Geierhos, M.,  Schulze, S., &; Baeumer,  Frederik Simon. (2015). What did you mean? Facing the Challenges of User-generated Software Requirements. Proceedings of the 7th International Conference on Agents and Artificial Intelligence, 277–283.

Geierhos, M., &; Schulze, S. (2015). The satisfied patient 2.0: Analysis of anonymous doctor reviews to generate a patient mood. ForschungsForum Paderborn, 18, 14–19.

Geierhos, M., &; Schulze, S. (2015). The Satisfied Patient 2.0: Analysis of anonymous doctor ratings to gain insight into patient sentimen. ForschungsForum Paderborn, 18, 14–19.

Geierhos, M., Bäumer, F. S., Schulze, S., &; Stuß, V. (2015). Filtering Reviews by Random Individual Error. In M. Ali, Y. S. Kwon, C.-H. Lee, J. Kim, &; Y. Kim (Eds.), Proceedings of the 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2015) (Vol. 9101, pp. 305–315). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-19066-2_30 

Stuß, V., &; Geierhos, M. (2015). Identifikation kognitiver Effekte in Online-Bewertungen. In DHd 2015: Book of Abstracts (pp. 239–243). Graz, Austria: ZIM-ACDH.

Geierhos, M., &; Bäumer, F. S. (2015). Erfahrungsberichte aus zweiter Hand: Erkenntnisse über die Autorschaft von Arztbewertungen in Online-Portalen. In DHd 2015: Book of Abstracts (pp. 69–72). Graz, Austria: ZIM-ACDH.

Geierhos, M., &; Schulze, S. (2015). Der zufriedene Patient 2.0: Analyse anonymer Arztbewertungen zur Generierung eines Patientenstimmungsbildes. ForschungsForum Paderborn, 18, 14–19.

Geierhos, M., Bäumer, F. S., Schulze, S., &; Stuß, V. (2015). “I grade what I get but write what I think.”https://doi.org/10.18151/7217324__Inconsistency Analysis in Patients’ Reviews. In ECIS 2015 Completed Research Papers. New York, NY, USA: Elsevier.https://doi.org/10.18151/7217324 

Geierhos, M., Schulze, S., &; Bäumer, F. S. (2015). Der zufriedene Patient 2.0: Analyse anonymer Arztbewertungen im Web 2.0 (Vol. 3). Düsseldorf, Germany: Verbraucherzentrale NRW/Kompetenzzentrum Verbraucherforschung NRW.https://doi.org/10.15501/kvfwp_3 

Bäumer, F. S., Dollmann, M., &; Geierhos, M. (2015). Find a Physician by Matching Medical Needs described in your Own Words. In E. M. Shakshuki (Ed.), The 6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2015) / The 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2015) / Affiliated Workshops (Vol. 63, pp. 417–424). Amsterdam, The Netherlands: Elsevier.https://doi.org/10.1016/j.procs.2015.08.362 

Bäumer, F. S., Geierhos, M., &; Schulze, S. (2015). A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews. In G. Dregvaite &; R. Damasevicius (Eds.), Information and Software Technologies. 21st International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015. Proceedings (Vol. 538, pp. 3–15). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-24770-0_1 

Geierhos, M., Bäumer, F. S., Schulze, S., &; Klotz, C. (2015). Understanding the Patient 2.0: Gaining Insight into Patients’ Rating Behavior by User-generated Physician Review Mining. In H. Christiansen, I. Stojanovic, &; G. A. Papadopoulos (Eds.), Modeling and Using Context. 9th International and Interdisciplinary Conference, CONTEXT 2015, Lanarca, Cyprus, November 2-6, 2015. Proceedings (Vol. 9405, pp. 159–171). Cham, Switzerland: Springer.https://doi.org/10.1007/978-3-319-25591-0_12 

Geierhos, M., Schulze, S., &; Bäumer, F. S. (2015). What did you mean? Facing the Challenges of User-generated Software Requirements. In S. Loiseau, J. Filipe, B. Duval, &; J. van den Herik (Eds.), Proceedings of the 7th International Conference on Agents and Artificial Intelligence (ICAART), Special Session on Partiality, Underspecification, and Natural Language Processing (PUaNLP 2015) (pp. 277–283). Setúbal, Portugal: SciTePress - Science and Technology Publications.https://doi.org/10.5220/0005346002770283 

Weber, J.,  Minhee, C.,  Lee,  Mikyoung, Song, S., Geierhos, M., &; Jung, H. (2014). System Thinking: Crafting Scenarios for Prescriptive Analytics. Proceedings of the First International Workshop on Patent Mining and Its Applications (IPAMIN) 2014, 1292.

Dollmann, M., &; Geierhos, M. (2014). SentiBA: Lexicon-based Sentiment Analysis on German Product Reviews. Konvens 2014 Workshop Proceedings, 185–191.

Baeumer, F. S., Gim, J., Jeong, D.-H., Geierhos, M., &; Jung, H. (2014). Linked Open Data System for Scientific Data Sets. In H. Jung, T.  Mandl, C. Womsen-Hacker, &; S. Xu (Eds.), Proceedings of the First International Workshop on Patent Mining and Its Applications (IPAMIN) 2014 (Vol. 1292).

Geierhos, M., &;  Schulze, S. (2014). The same but not the same - Challenges in comparing patient opinions.

Geierhos, M., &;  Siri, J. (2014). What is research ethics observing? An interdisciplinary  "a re discussion between computational linguistics and qualitative-constructivist social research. Proceedings Research Ethics in Qualitative and Quantitative Social Research.

Jeong, D.-H., Gim, J.,  Jung, H., Geierhos, M., &; Baeumer, F. S. (2014). Comparative study on disambiguating acronyms in the scientific papers using the open knowledge base. Proceedings of the 9th Asia Pacific International Conference on Information Science and Technology, 369–371.

Geierhos, M. (2014). Towards a Local Grammar-based Persondata Generator for Wikipedia Biographies. In F. Kakoyianni-Doa (Ed.), Penser le Lexique-Grammaire (pp. 411–420). Honoré Champion.

Geierhos, M. (2014). Towards a Local Grammar-based Persondata Generator for Wikipedia Biographies. In F. Kakoyianni-Doa (Ed.), Penser le Lexique-Grammaire (pp. 411–420). Paris, France: Honoré Champion.

Jeong, D.-H., Gim, J., Jung, H., Geierhos, M., &; Bäumer, F. S. (2014). Comparative study on disambiguating acronyms in the scientific papers using the open knowledge base. In Conference Proceedings of the 9th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2014) (pp. 369–371). Kathmandu, Nepal.

Geierhos, M., &; Schulze, S. (2014). The same but not the same - Challenges in comparing patient opinions. In Challenges for Consumer Research and Consumer Policy in Europe (p. 53). Bonn, Germany.

Geierhos, M., &; Siri, J. (2014). Was beobachtet die Forschungsethik? Eine interdisziplinäre Diskussion zwischen Computerlinguistik und qualitativ-konstruktivistischer Sozialforschung. In Tagungsband Forschungsethik in der qualitativen und quantitativen Sozialforschung (p. 29). Munich, Germany.

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Lee, Y. S., &; Geierhos, M. (2011).  Buy, Sell, or Hold? Information Extraction from Stock Analyst Reports (Vol. 6967, pp. 173–184). Springer.

Schuster, J., Lee, Y. S., Kobothanassi, D., Bargel, M., &; Geierhos, M. (2011). SCM - A Simple, Modular and Flexible Customer Interaction Management System. Proceedings of the International Conference on Information Society (i-Society 2011), 153–158.

Geierhos, M., Lee, Y. S.,  Schuster, J., Kobothanass, D., &; Bargel, M. (2011). A Social Media Customer Service. 22nd ACM Conference on Hypertext and Hypermedia. Poster Session.