Bäumer, Frederik Simon, et al. “Dialogue-Based Requirement Compensation and Style-Adjusted Data-to-Text Generation.”10.5281/zenodo.8068456__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.

Kersting, Joschka, and Michaela Geierhos. “Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews.”10.1007/978-3-031-37890-4_3__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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Chen, Wei-Fan, et al. “Analyzing Culture-Specific Argument Structures in Learner Essays.” Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61.

Kersting, Joschka, et al. “Chatbot-Enhanced Requirements Resolution for Automated Service Compositions.”10.1007/978-3-031-06417-3_56__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.

Kersting, Joschka, and Frederik Simon Bäumer. “Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis.” Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications, edited by Joschka Kersting, IARIA, 2022, pp. 5–9.

Chen, Mei-Hua, et al. “Investigating the Argumentation Structures of EFL Learners from Diverse Language Backgrounds.” EUROCALL, 2022.

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.

Kersting, Joschka, and Michaela Geierhos. “Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks.”10.1007/978-3-030-63787-3_6__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.

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.

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.

Alshomary, Milad, et al. “Belief-Based Generation of Argumentative Claims.” Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Association for Computational Linguistics, 2021, pp. 224–223.

Chen, Wei-Fan, et al. “Controlled Neural Sentence-Level Reframing of News Articles.” Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–93.

Alshomary, Milad, et al. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.”10.18653/v1/2021.findings-acl.159__Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Association for Computational Linguistics, 2021, pp. 1816–1827, doi:10.18653/v1/2021.findings-acl.159.

Bäumer, Frederik Simon, et al. “Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P News Tagging.”https://doi.org/10.1007/978-3-030-59506-7_30__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.

Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.

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.

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.

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.

Wever, Marcel Dominik, et al. “Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets.”10.1162/evco_a_00266__Evolutionary Computation, vol. 28, no. 2, MIT Press Journals, 2020, pp. 165–193, doi:10.1162/evco_a_00266.

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.

Karl, Holger, et al. “A Case for a New IT Ecosystem: On-The-Fly Computing.”10.1007/s12599-019-00627-x__Business &; Information Systems Engineering, vol. 62, no. 6, Springer, 2020, pp. 467–81, doi:10.1007/s12599-019-00627-x.

Chen, Wei-Fan, et al. “Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity.” Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 2020, pp. 149–54.

Syed, Shahbaz, et al. “Task Proposal: Abstractive Snippet Generation for Web Pages.” Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 2020, pp. 237–41.

Chen, Wei-Fan, et al. “Detecting Media Bias in News Articles Using Gaussian Bias Distributions.” Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–300.

Chen, Wei-Fan, et al. “Abstractive Snippet Generation.” Proceedings of the Web Conference 2020, 2020, pp. 1309–19.

Alshomary, Milad, et al. “Target Inference in Argument Conclusion Generation.” Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Association for Computational Linguistics, 2020, pp. 4334–45.

Bäumer, Frederik Simon, and Michaela Geierhos. “Requirements Engineering in OTF-Computing.” Encyclopedia.Pub, MDPI, 2019.

Bäumer, Frederik Simon, et al. “Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches.”10.3390/computers8010022__Computers, vol. 8, no. 1, 22, MDPI AG, Basel, Switzerland, 2019, doi:10.3390/computers8010022.

Chen, Wei-Fan, et al. “Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition.” Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom, 2019, pp. 76–82.

Bäumer, Frederik Simon, and Michaela Geierhos. “How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges.”10.1007/978-3-319-91947-8_53__Proceedings of the 23rd International Conference on Natural Language and Information Systems, edited by Max10.1007/978-3-319-91947-8_53__Silberztein et al., vol. 10859, Springer, 2018, pp. 509–13, doi:10.1007/978-3-319-91947-8_53.

Kim, Yeongsu, et al. “Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure.”10.14257/ijast.2018.112.12__International Journal of Advanced Science and Technology, vol. 112, SERSC Australia, 2018, pp. 123–36, doi:10.14257/ijast.2018.112.12.

Bäumer, Frederik Simon, and Michaela Geierhos. “NLP in OTF Computing: Current Approaches and Open Challenges.”10.1007/978-3-319-99972-2_46__Proceedings of the 24th International Conference on Information and Software Technologies (ICIST 2018), edited by Robertas Damasevidius and Giedr Vasiljevien, vol. 920, Springer, 2018, pp. 559–70, doi:10.1007/978-3-319-99972-2_46.

Bäumer, Frederik Simon, and Michaela Geierhos. “Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-Based Configuration of Text Analysis Pipelines.”10125/50609__Proceedings of the 51st Hawaii International Conference on System Sciences, 2018, pp. 5746–55, doi:10125/50609.

Geierhos, Michaela. “Unschärfe bei der Interpretation natürlichsprachlicher Anforderungsbeschreibungen.” Unschärfe - Der Umgang mit fehlender Eindeutigkeit, edited by Steffen Freitag et al., 1st ed., Ferdinand Schöningh, 2018, pp. 111–28.

Bäumer, Frederik Simon, and Michaela Geierhos. “How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas.” 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), edited by Klaus Schmid et al., vol. 2075, CEUR-WS.org, 2018.

Friesen, Edwin, et al. “CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface.” 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), edited by Klaus  Schmid et al., vol. 2075, CEUR-WS.org, 2018.

Caron, Matthew, et al. “Back to Basics: Extracting Software Requirements with a Syntactic Approach.” 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), edited by Klaus Schmid et al., vol. 2075, CEUR-WS.org, 2018.

Chen, Wei-Fan, et al. “Learning to Flip the Bias of News Headlines.” Proceedings of the 11th International Conference on Natural Language Generation, Association for Computational Linguistics, 2018, pp. 79–88.

Chen, Wei-Fan, et al. “A User Study on Snippet Generation: Text Reuse vs. Paraphrases.” Proceedings of the 41st International ACM SIGIR Conference on Research &; Development in Information Retrieval, 2018, pp. 1033–36.

Potthast, Martin, et al. “A Plan for Ancillary Copyright: Original Snippets.” Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval, 2018, pp. 3–5.

Geierhos, Michaela, and Frederik Simon Bäumer. “Guesswork? Resolving Vagueness in User-Generated Software Requirements.” Partiality and Underspecification in Information, Languages, and Knowledge, edited by Henning  Christiansen et al., 1st ed., Cambridge Scholars Publishing, 2017, pp. 65–108.

Bäumer, Frederik Simon, et al. “Studying Software Descriptions in SourceForge and App Stores for a Better Understanding of Real-Life Requirements.”10.1145/3121264.3121269__Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics, edited by Federica10.1145/3121264.3121269__Sarro et al., ACM, 2017, pp. 19–25, doi:10.1145/3121264.3121269.

Platenius, Marie Christin, et al. “MatchBox: A Framework for Dynamic Configuration of Service Matching Processes (Extended Abstract).” Tagungsband Software Engineering, 2017, pp. 81--82.

van Rooijen, Lorijn, et al. “From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process.”10.1109/REW.2017.26__2017 IEEE 25th International Requirements Engineering Conference Workshops (REW), IEEE, 2017, pp. 379–85, doi:10.1109/REW.2017.26.

Schwichtenberg, Simon, et al. “From Open API to Semantic Specifications and Code Adapters.” Proceedings of the 24th IEEE International Conference on Web Services (ICWS), 2017, pp. 484--491.

Kim, Yeong-Su, et al. “Semantic Annotation of Software Requirements with Language Frame.” International Journal of Software Engineering for Smart Device, vol. 4, no. 2, Global Vision School Publication, 2017, pp. 1–6.

Wever, Marcel Dominik, et al. “Active Coevolutionary Learning of Requirements Specifications from Examples.”10.1145/3071178.3071258__Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 2017, pp. 1327--1334, doi:10.1145/3071178.3071258.

Dollmann, Markus, and Michaela Geierhos. “On- and Off-Topic Classification and Semantic Annotation of User-Generated Software Requirements.” Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics (ACL), 2016, pp. 1807–16.

Platenius, Marie Christin, et al. “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.”10.1109/TSE.2016.2632115__IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017, no. 8, IEEE, 2016, pp. 739–59, doi:10.1109/TSE.2016.2632115.