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Faculty of Informatics Technical University of Munich
Room FMI 01.12.055 Office hours: by appointment |
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Phillip Schneider is a research associate at the chair of Software Engineering for Business Information Systems at TU Munich since November 2020. He holds a master's degree in Information Systems from Goethe University Frankfurt. During his studies, Mr. Schneider visited the Computer Science Department of the University of Helsinki. He also gained international work experience at leading companies in the tech industry, such as IBM (Brussels) and Amazon (London & Luxembourg). |
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| 1. Schneider, P. (2020). App ecosystem out of balance: An empirical analysis of update interdependence between operating system and application software (Master’s Thesis, Universit ̈atsbibliothek Johann Christian Senckenberg). 2. Schneider, P., Schopf, T., Vladika, J., Galkin, M., Simperl, E., & Matthes, F. (2022). A Decade of Knowledge Graphs in Natural Language Processing: A Survey. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP). 3. Schneider, P., Voggenreiter, M., Gulraiz, A., & Matthes, F. (2022). Semantic Similarity-Based Clustering of Findings From Security Testing Tools. In Proceedings of the 5th International Conference on Natural Language and Speech Processing (ICNLSP). 4. Schneider, P., Afzal, A., Vladika, J., Braun, D., & Matthes, F. (2023). Investigating conversational search behavior for domain exploration. In European Conference on Information Retrieval (ECIR). *Best Student Short Paper Award* 5. Schneider, P., Rehtanz, N., Jokinen, K., & Matthes, F. (2023). Voice-based conversational agents and knowledge graphs for improving news search in assisted living. In Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA). 6. Voggenreiter, M., Schneider, P., & Gulraiz, A. (2023). Aggregating Industrial Security Findings with Semantic Similarity-Based Techniques. In Practical Solutions for Diverse Real-World NLP Applications. Cham: Springer International Publishing. 7. Schneider, P., Rehtanz, N., Jokinen, K., & Matthes, F. (2023). From Data to Dialogue: Leveraging the Structure of Knowledge Graphs for Conversational Exploratory Search. In Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation (PACLIC). 8. Schneider, P., Klettner, M., Jokinen, K., Simperl, E., & Matthes, F. (2024). Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence (ICAART). 9. Schneider, P., Klettner, M., Simperl, E., & Matthes, F. (2024). A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL). 10. Schneider, P., Poelman, W., Rovatsos, M., & Matthes, F. (2024). Engineering conversational search systems: A review of applications, architectures, and functional components. In 6th Workshop on NLP for ConvAI (ACL). 11. Schneider, P., Machner, N., Jokinen, K., & Matthes, F. (2024) Bridging Information Gaps in Dialogues With Grounded Exchanges Using Knowledge Graphs. In Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL). 12. Dingsøyr, T., Schneider, P., Bergersen, G. R., & Lindsjørn, Y. (2024). Challenges in Understanding the Relationship between Teamwork Quality and Project Success in Large-Scale Agile Projects. In Proceedings of the 2024 IEEE/ACM 17th International Conference on Cooperative and Human Aspects of Software Engineering. 13. Schneider, P., Schopf, T., Vladika, J., & Matthes, F. (2024). Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing. Informing Possible Future Worlds: Essays in Honour of Ulrich Frank. Logos Verlag Berlin. 14. Vladika, J., Schneider, P., & Matthes, F. (2024, May). HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING). 15. Jokinen, K., Schneider, P., & Mori, T. (2024). Towards Harnessing Large Language Models for Comprehension of Conversational Grounding. In Proceedings of the 14th International Workshop on Spoken Dialogue Systems Technology (IWSDS). 16. Vladika, J., Schneider, P., & Matthes, F. (2024). MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering. In Findings of the Association for Computational Linguistics (ACL). |
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Conversational Graph-Based Navigation Over Semantically Connected Content (COGNOSCO) In cooperation with Springer Nature, the COGNOSCO project (from Latin cognōscere: to discover/learn/know) aims at investigating conversational search systems that enable explorative navigation through knowledge databases. Through the combination of Natural Language Processing and knowledge graphs, the interactive search process is realized by text-based, information-providing dialogs. Click here to read more ... |
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AI-Based Digital Health Assistant (ALPHA-KI) The purpose of the digital health assistant ALPHA is to make the everyday life of chronically ill people healthier, safer and more entertaining. ALPHA comes in form of a smartwatch that is always worn on the body. As a voice-based device, it is controlled through natural language alone. The overarching goal of this research project involves four AI-related focal points. Click here to read more ... |
Autonomous Company
The idea of this research project is to investigate how Artificial Intelligence and Big Data can be exploited to establish fully-automated software engineering
project management processes, including project acquisition, agile project management, and project completion. This research project is performed in close
collaboration with our project partner Motius GmbH. Click here to read more ...
Blockchain Technology for International Student Mobility
In cooperation with RWTH Aachen University, a feasibility study about blockchain technology for international student mobility is carried out. Different use
cases on how blockchain can optimize and automate the current recognition processes at two faculties are evaluated. Based on this evaluation, one scenario
is selected to be implemented as a prototype system, demonstrating the capabilities of such a blockchain-based process. Click here to read more ...
| Term | Level | Title | Type | Role |
| SS 24 | Master | SEBA Lab Course (NLP) | Lab Course | Organizer |
| SS 24 | Master | Natural Language Processing - Methods and Applications | Seminar | Advisor |
| WS 23/24 | Master | SEBA Lab Course | Lab Course | Advisor |
| SS 23 | Master | SEBA Lab Course (NLP) | Lab Course | Organizer |
| SS 23 | Master | Natural Language Processing - Methods and Applications | Seminar | Advisor |
| WS 22/23 | Master | SEBA Lab Course | Lab Course | Advisor |
| WS 22/23 | Master | Strategic IT Management & Enterprise Architecture Management | Lecture | Advisor |
| SS 22 | Master | Natural Language Processing - Methods and Applications | Seminar | Advisor |
| SS 22 | Bachelor/Master | Conversational AI Workshop | Certificate Course | Organizer |
| SS 22 | Master | EAM Miniprojekte | Seminar | Organizer |
| WS 21/22 | Master | SEBA Lab Course | Lab Course | Advisor |
| WS 21/22 | Master | Strategic IT Management & Enterprise Architecture Management | Lecture | Organizer |
| SS 21 | Master | Natural Language Processing - Methods and Applications | Seminar | Advisor |
| SS 21 | Master | EAM Miniprojekte | Seminar | Advisor |
| WS 20/21 | Master | SEBA Lab Course | Lab Course | Advisor |
