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Dr. rer. nat. D. Braun (Daniel)

Assistant Professor

About Me

Daniel Braun is an assistant professor at the Department of Industrial Engineering and Business Information Systems (IEBIS) at the University of Twente. Previously, he worked in the Department of Informatics at the Technical University of Munich, where he also received his PhD. Daniel holds a master's degree in Computing Science from the University of Aberdeen and a bachelor's in Computer Science from Saarland University.

His research focuses on the application of Natural Language Processing (NLP) and Artificial Intelligence (AI) in knowledge-intensive processes, with a focus on problems from the legal domain (Legal Tech). More broadly, he is also interested in the general application of NLP and Natural Language Generation (NLG) in the context of businesses and administration.

 

Publications

Recent
Fishchuk, V. , & Braun, D. (2023). Efficient Black-Box Adversarial Attacks on Neural Text Detectors. In M. Abbas, & A. A. Freihat (Eds.), Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP-2023) (pp. 78-83). Association for Computational Linguistics (ACL). https://aclanthology.org/2023.icnlsp-1.8
Braun., D. , Rogetzer., P., Stoica, E., & Kurzhals, H. (2023). Students' Perspective on AI-Supported Assessment of Open-Ended Questions in Higher Education. In J. Jovanovic, I.-A. Chounta, J. Uhomoibhi, & B. McLaren (Eds.), Proceedings of the 15th International Conference on Computer Supported Education (Vol. 2, pp. 73-79) https://doi.org/10.5220/0011648900003470
Schneider, P., Afzal, A., Vladika, J. , Braun, D., & Matthes, F. (2023). Investigating Conversational Search Behavior for Domain Exploration. In J. Kamps, L. Goeuriot, F. Crestani, M. Maistro, H. Joho, B. Davis, C. Gurrin, U. Kruschwitz, & A. Caputo (Eds.), Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part II (pp. 608-616). Springer Nature. https://doi.org/10.1007/978-3-031-28238-6_52
Afzal, A., Vladika, J. , Braun, D., & Matthes, F. (2023). Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them. In A. P. Rocha, L. Steels, & J. van den Herik (Eds.), Proceedings of the 15th International Conference on Agents and Artificial Intelligence - (Volume 3) (pp. 682-689). (Proceedings International Conference on Agents and Artificial Intelligence )ICAART); Vol. 2023, No. 15). SCITEPRESS. https://doi.org/10.5220/0011744500003393
Schopf, T. , Braun, D., & Matthes, F. (2023). Semantic Label Representations with Lbl2Vec: A Similarity-Based Approach for Unsupervised Text Classification. In M. Marchiori, F. J. Domínguez Mayo, & J. Filipe (Eds.), Web Information Systems and Technologies: 16th International Conference, WEBIST 2020, November 3–5, 2020, and 17th International Conference, WEBIST 2021, October 26–28, 2021, Virtual Events, Revised Selected Papers (pp. 59-73). (Lecture Notes in Business Information Processing). Springer. https://doi.org/10.1007/978-3-031-24197-0_4
Schopf, T. , Braun, D., & Matthes, F. (2022). Evaluating Unsupervised Text Classification: Zero-Shot and Similarity-Based Approaches. In Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval (pp. 6–15). Association for Computing Machinery. https://doi.org/10.1145/3582768.3582795
Braun, D. (2022). Tracking Semantic Shifts in German Court Decisions with Diachronic Word Embeddings. In Proceedings of the Natural Legal Language Processing Workshop 2022 (pp. 218-227). Association for Computational Linguistics (ACL). https://aclanthology.org/2022.nllp-1.19.pdf
Braun, D., & Matthes, F. (2022). Clause Topic Classification in German and English Standard Form Contracts. In S. Malmasi, O. Rokhlenko, N. Ueffing, I. Guy, E. Agichtein, & S. Kallumadi (Eds.), Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5) (pp. 199-209). Association for Computational Linguistics (ACL). https://aclanthology.org/2022.ecnlp-1.23
Schamel, T. , Braun, D., & Matthes, F. (2022). Structured Extraction of Terms and Conditions from German and English Online Shops. In S. Malmasi, O. Rokhlenko, N. Ueffing, I. Guy, E. Agichtein, & S. Kallumadi (Eds.), Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5) (pp. 181-190). Association for Computational Linguistics (ACL). https://aclanthology.org/2022.ecnlp-1.21
Schopf, T. , Braun, D., & Matthes, F. (2021). Lbl2Vec: An Embedding-based Approach for Unsupervised Document Retrieval on Predefined Topics. In Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST, (pp. 124-132) https://doi.org/10.5220/0010710300003058
Braun, D. (2021). Automated Semantic Analysis, Legal Assessment, and Summarization of Standard Form Contracts. [PhD Thesis - Research external, graduation external, Technische Universitat Munchen]. https://mediatum.ub.tum.de/?id=1581193
Braun, D., & Matthes, F. (2021). NLP for Consumer Protection: Battling Illegal Clauses in German Terms and Conditions in Online Shopping. In Proceedings of the 1st Workshop on NLP for Positive Impact (pp. 93-99). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2021.nlp4posimpact-1.10
Braun, D., Sajwan, A., & Matthes, F. (2020). User-adaptable Natural Language Generation for Regression Testing within the Finance Domain. In Proceedings of the 22nd International Conference on Enterprise Information Systems (pp. 613-618). SCITEPRESS. https://doi.org/10.5220/0009563306130618
Klimt, K. , Braun, D., Schneider, D., & Matthes, F. (2020). MucLex: A German Lexicon for Surface Realisation. In Proceedings of The 12th Language Resources and Evaluation Conference (LREC 2020), Marseille, 11-16 May 2020 (pp. 4653-4657). European Language Resources Association (ELRA).
Braun, D., & Matthes, F. (2020). Automatic Detection of Terms and Conditions in German and English Online Shops. In M. Marchiori, F. Dominguez Mayo, & J. Filipe (Eds.), Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST 2020, Budapest, Hungary, November 3-5, 2020 (pp. 233-237). SCITEPRESS. https://doi.org/10.5220/0010154302330237
Braun, D., Klimt, K., Schneider, D., & Matthes, F. (2019). SimpleNLG-DE: Adapting SimpleNLG 4 to German. In INLG 2019 - 12th International Conference on Natural Language Generation, Proceedings of the Conference (pp. 415-420). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/W19-8651
Braun, D., & Matthes, F. (2019). Towards a Framework for Classifying Chatbots. In Proceedings of the 21th International Conference on Enterprise Information Systems (ICEIS 2019) (pp. 484-489)
Braun, D., Scepankova, E., Holl, P., & Matthes, F. (2019). Consumer Protection in the Digital Era: The Potential of Customer-Centered LegalTech. In INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft https://doi.org/10.18420/inf2019_58
Braun, D., Scepankova, E., Holl, P., & Matthes, F. (2019). The Potential of Customer-Centered LegalTech: Consumer Protection in the Digital Era. Datenschutz und Datensicherheit, 43, 760-766. https://doi.org/10.1007/s11623-019-1202-7

UT Research Information System

Google Scholar Link

Education

Supervision of BSc thesis projects (1st or 2nd Supervision):

  • Alexandru Matcov, Explainable AI in Credit Risk Assessment for External Customers, BIT, 2024
  • Mengmeng Li, The Dual Role of AI in Cybersecurity and Cybersafety: Insights from ChatGPT, BIT, 2024
  • Kaleb Dan, The optimization of the requesting procedure, IEM, 2023
  • Iris te KoppeleDashboard on lead times, IEM, 2023
  • Vitalii Fishchuk, Adversarial attacks on neural text detectors, BIT, 2023
  • Vlad-Gabriel Stoian, Students' Trust in Automated Grading Through Explainable AI Visualizations, BIT, 2023
  • Ruta Ergle, Enabling the eCMR signing process by implementing e-signature software for Vervo, IEM, 2023
  • Jelmer Hofman, Transparency in AI-driven Grading Tools for Open-ended Questions in Higher Education, BIT, 2023
  • Daniël van Horn, Process improvement using machine learning, IEM, 2022
  • Hugo Vaatstra, Optimising the safety of crossing railroads to aim for a safer rail net, IEM, 2022
  • Max Miedema, Creating insights, KPIs, visualizations and a dashboard of the operational residual streams’ performance regarding the circularity goals of Company X, IEM, 2022
  • Nils Idema, Improving the utilisation of AI Ops analyses by improving the quality of incident logging data, IEM, 2022
  • Ramish Bhutto, Automating Privacy Policy Extraction And Summarization, CS, 2022
  • Eva Stoica, A student’s take on challenges of AI-driven grading in higher education, BIT, 2022
  • Kristians Balickis, Influence of human-in-the-loop on the acceptance of AI-driven evaluation of essay questions by students, IBA, 2022
  • Anastasia Coviliac, Improvement of AI-assessment systems in grading open questions based on the teaching assistant’s view, IBA, 2022
  • Henry Kurzhals, Challenges and approaches related to AI-driven grading of open exam questions in higher education : human in the loop, IBA, 2022
  • Rozemarijn van de Leur, Challenges and approaches related to AI-driven grading in higher education: the procedural trust of students, IBA, 2022
  • Alex Kijk in de Vegte, The impact of product Y of company X on corporate social responsibility, IEM, 2022

 

Supervision of MSc thesis projects (1st or 2nd Supervision):

  • Zhenqi Zhao, Exploring Lexical Alignment Influences in Price Bargain Chatbot, BIT, 2024
  • Robert Brouwer, Differentiating user groups within an educational dashboard using log data, BIT, 2023
  • Simon Chamoun, Unleashing the potential of Business Intelligence & Analytics for SMEs in the Netherlands: A Comprehensive Analysis, BA, 2023

Affiliated Study Programmes

Bachelor

Master

Courses Academic Year  2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
 

Courses Academic Year  2022/2023

Contact Details

Visiting Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn (building no. 10), room 3333
Hallenweg 17
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn  3333
P.O. Box 217
7500 AE Enschede
The Netherlands

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