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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.

 

Organisations

Publications

Recent
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
Braun, D., Hernandez Mendez, A., Faber, A., Langen, M., & Matthes, F. (2018). Customer-Centred Intermodal Combination of Mobility Services with Conversational Interfaces. In Multikonferenz Wirtschaftsinformatik (MKWI) 2018
Braun, D., Faber, A., Hernandez Mendez, A., & Matthes, F. (2018). Automatic Relation Extraction for Building Smart City Ecosystems using Dependency Parsing. In Proceedings of the 2nd Workshop on Natural Language for Artificial Intelligence (NL4AI 2018) (pp. 28-39)
Braun, D., Reiter, E., & Siddharthan, A. (2018). SaferDrive: An NLG-based behaviour change support system for drivers. Natural language engineering, 24(4), 551-588. Advance online publication. https://doi.org/10.1017/S1351324918000050

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

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Faculty of Behavioural, Management and Social Sciences
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7500 AE Enschede
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