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128 Publications
2023 | Dissertation | LibreCat-ID: 44323
Kersting, Joschka. Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining. Universität der Bundeswehr München , 2023.
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2023 | Book Chapter | LibreCat-ID: 45882 | 
Bäumer, Frederik Simon, et al. “Dialogue-Based Requirement Compensation and Style-Adjusted Data-to-Text Generation.” On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 65–84, doi:10.5281/zenodo.8068456.
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2023 | Book Chapter | LibreCat-ID: 46205
Kersting, Joschka, and Michaela Geierhos. “Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews.” Data Management Technologies and Applications, edited by Alfredo Cuzzocrea et al., vol. 1860, Springer Nature Switzerland, 2023, pp. 45–65, doi:10.1007/978-3-031-37890-4_3.
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2023 | Journal Article | LibreCat-ID: 45673
Merten, Marie-Luis, et al. “Annotation Uncertainty in the Context of Grammatical Change.” International Journal of Corpus Linguistics, 2023, doi:https://doi.org/10.1075/ijcl.20113.mer.
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2023 | Journal Article | LibreCat-ID: 53801 |
Kersting, Joschka, et al. “Towards Comparable Ratings: Exploring Bias in German Physician Reviews.” Data & Knowledge Engineering, vol. 148, 102235, Elsevier, 2023, doi:10.1016/j.datak.2023.102235.
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2022 | Book Chapter | LibreCat-ID: 32179
Kersting, Joschka, et al. “Chatbot-Enhanced Requirements Resolution for Automated Service Compositions.” HCI International 2022 Posters, edited by Constantine Stephanidis et al., vol. 1580, Springer International Publishing, 2022, pp. 419--426, doi:10.1007/978-3-031-06417-3_56.
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2021 | Conference Paper | LibreCat-ID: 26049
Bäumer, Frederik Simon, et al. “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING.” PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, IADIS, 2021, pp. 221--225.
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2021 | Book Chapter | LibreCat-ID: 17905
Kersting, Joschka, and Michaela Geierhos. “Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks.” Natural Language Processing in Artificial Intelligence -- NLPinAI 2020, edited by Roussanka Loukanova, vol. 939, Springer, 2021, pp. 163--189, doi:10.1007/978-3-030-63787-3_6.
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2021 | Conference Paper | LibreCat-ID: 22051
Kersting, Joschka, and Michaela Geierhos. “Well-Being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations.” Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), SCITEPRESS, 2021, pp. 275--284.
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2021 | Book Chapter | LibreCat-ID: 22052
Kersting, Joschka, and Michaela Geierhos. “Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting.” Natural Language Processing and Information Systems, edited by Epaminondas Kapetanios et al., vol. 12801, Springer, 2021, pp. 231--242.
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2020 | Book Chapter | LibreCat-ID: 17347
Bäumer, Frederik Simon, et al. “Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging.” Information and Software Technologies, edited by Lopata Audrius et al., vol. 1283, Springer, 2020, pp. 368--382, doi:https://doi.org/10.1007/978-3-030-59506-7_30.
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2020 | Conference Paper | LibreCat-ID: 15580
Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” 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, 2020, pp. 391--400.
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2020 | Conference Paper | LibreCat-ID: 15582
Buff, Bianca, et al. “Detection of Privacy Disclosure in the Medical Domain: A Survey.” Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), SCITEPRESS, 2020, pp. 630--637.
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2020 | Conference Paper | LibreCat-ID: 15635
Kersting, Joschka, and Michaela Geierhos. “Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis.” Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, AAAI, 2020, pp. 282--285.
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2020 | Conference Paper | LibreCat-ID: 15256
Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers.” Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS, 2020, pp. 263--272.
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2019 | Encyclopedia Article | LibreCat-ID: 8312 |
Bäumer, Frederik Simon, and Michaela Geierhos. “Requirements Engineering in OTF-Computing.” Encyclopedia.Pub, MDPI, 2019.
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2019 | Journal Article | LibreCat-ID: 8424 |
Bäumer, Frederik Simon, et al. “Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches.” Computers, vol. 8, no. 1, 22, MDPI AG, Basel, Switzerland, 2019, doi:10.3390/computers8010022.
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2019 | Conference Abstract | LibreCat-ID: 8532 |
Bäumer, Frederik Simon, et al. “Potentielle Privatsphäreverletzungen aufdecken und automatisiert sichtbar machen.” DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts, edited by Patrick Sahle, Zenodo, 2019, pp. 192–93, doi:10.5281/zenodo.2596095.
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2019 | Conference Paper | LibreCat-ID: 9613
Kersting, Joschka, et al. “In Reviews We Trust: But Should We? Experiences with Physician Review Websites.” Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, edited by Muthu Ramachandran et al., SCITEPRESS, 2019, pp. 147–55.
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2019 | Bachelorsthesis | LibreCat-ID: 13435
Friesen, Edwin. Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis. Universität Paderborn, 2019.
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