Research

Invited Talks

Middlesex University Dubai at Google Developers Student Club (2022)
Holtzbrinck Publishing Group at Holtzbrinck Technology Day (2022)
NLInt Workshop on Natural Language Interfaces at IJCNLP-AACL Conference (2023)
AI Research Center at National Institute of Advanced Industrial Science and Technology Tokyo (2023)
Speech and Audio Processing Laboratory at Kyoto University (2023)
BR AI Meets Journalism Workshop at BR Munich (2024)
Knowledge Graph Lab at King’s College London (2024)
Google DeepMind & AI Grid Meetup at Google Berlin (2024)

Publications

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).
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).
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
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).
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.
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).
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).
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).
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). Outstanding Paper Award
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).
Schneider, P., & Matthes, F. (2024). Conversational Exploratory Search of Scholarly Publications Using Knowledge Graphs. 7th International Conference on Natural Language and Speech Processing (ICNLSP).
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.
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.
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).
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).
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).
Kirmayr, J., Stappen, L., Schneider, P., André, E., & Matthes, F. (2025). CarMem: Enhancing Long-Term Memory in LLM Voice Assistants through Category-Bounding. In Proceedings of the 31st International Conference on Computational Linguistics: Industry Track (COLING).