| A Decade of Knowledge Graphs in Natural Language Processing: A Survey P Schneider, T Schopf, J Vladika, M Galkin, E Simperl, F Matthes AACL-IJCNLP 2022, 2022 | 66 | 2022 |
| Scientific Fact-Checking: A Survey of Resources and Approaches J Vladika, F Matthes ACL 2023 (Findings), 2023 | 30 | 2023 |
| Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial Reports J Vladika, F Matthes SemEval 2023, 2023 | 13 | 2023 |
| Investigating Conversational Search Behavior For Domain Exploration P Schneider, A Afzal, J Vladika, D Braun, F Matthes ECIR 2023, 2023 | 13 | 2023 |
| TakeLab at SemEval-2019 task 4: Hyperpartisan news detection N Palić, J Vladika, D Čubelić, I Lovrenčić, M Buljan, J Šnajder Proceedings of the 13th international workshop on semantic evaluation, 995-998, 2019 | 8 | 2019 |
| HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking J Vladika, P Schneider, F Matthes LREC-COLING 2024 – The Joint International Conference on Computational …, 2024 | 6* | 2024 |
| The CLIN33 Shared Task on the Detection of Text Generated by Large Language Models P Fivez, W Daelemans, T Van de Cruys, Y Kashnitsky, S Chamezopoulos, ... Computational Linguistics in the Netherlands Journal 13, 233-259, 2024 | 5 | 2024 |
| Comparing Knowledge Sources for Open-Domain Scientific Claim Verification J Vladika, F Matthes EACL 2024, 2024 | 4 | 2024 |
| Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them A Afzal, J Vladika, D Braun, F Matthes ICAART 2023, 2023 | 4 | 2023 |
| TUM sebis at GermEval 2022: A hybrid model leveraging Gaussian processes and fine-tuned XLM-RoBERTa for German text complexity analysis J Vladika, S Meisenbacher, F Matthes Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of …, 2022 | 3 | 2022 |
| Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective J Vladika, S Meisenbacher, M Preis, A Klymenko, F Matthes AMCIS 2024, 2024 | 1 | 2024 |
| Improving Health Question Answering with Reliable and Time-Aware Evidence Retrieval J Vladika, F Matthes NAACL 2024 (Findings), 2024 | 1 | 2024 |
| Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphs J Vladika, A Fichtl, F Matthes ICAART 2024, 2023 | 1 | 2023 |
| DP-MLM: Differentially Private Text Rewriting Using Masked Language Models S Meisenbacher, M Chevli, J Vladika, F Matthes ACL 2024, 2024 | | 2024 |
| MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering J Vladika, P Schneider, F Matthes ACL 2024, 2024 | | 2024 |
| Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing P Schneider, T Schopf, J Vladika, F Matthes Informing Possible Future Worlds: Essays in Honour of Ulrich Frank, 2024 | | 2024 |
| Legal AI Use Case Radar 2024 Report S Meisenbacher, N Machner, J Vladika, F Matthes | | 2024 |
Florian MatthesProfessor of Computer Science, Technische Universität MünchenVerified email at tum.de
