Full-time Project Assistant/Researcher at TU Wien. Currently pursuing his Ph.D at Budapest University of Technology and Economics. Has 6 years' of experience in building NLP applications in information extraction, lexical inference and NLU. Main research interests include semantic parsing and explainable methods in NLP.
Creator and collaborator of multiple open-source projects in nlp, such as:
As a teaching assistant, he is co-organizing and teaching NLP courses at BME and TUW:
Full list of publications
Á. Kovács, K. Gémes, A. Kornai, G. Recski: Explainable lexical entailment with semantic graphs. In Natural Language Engineering. K. Gémes, Á. Kovács, G. Recski: Offensive Text Detection Across Languages and Datasets Using Rule-based and Hybrid Methods. In CIKM’22: Advances in Interpretable Machine Learning and Artificial Intelligence Workshop. Á. Kovács, K. Gémes, E. Iklódi, G. Recski: POTATO: exPlainable infOrmation exTrAcTion framewOrk. In CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
G. Recski, B. Lellmann, Á. Kovács, A. Hanbury: Explainable Rule Extraction via Semantic Graphs. In Proceedings of the Fifth Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2021). K. Gémes, Á. Kovács, M. Reichel, G. Recski: Offensive text detection on English Twitter with deep learning models and rule-based systems. In FIRE 2021: Forum for Information Retrieval Evaluation.
G. Recski, Á. Kovács, K. Gémes, J. Ács, A. Kornai: BME-TUW at SR'20: Lexical grammar induction for surface realization. In Proceedings of the 3rd Workshop on Multilingual Surface Realisation (MSR 2020). Á. Kovács, K. Gémes, G. Recski, A. Kornai: BMEAUT at SemEval-2020 Task 2: Lexical entailment with semantic graphs. In Proceedings of the 14th International Workshop on Semantic Evaluation. Á. Kovács, J. Ács, A. Kornai, G. Recski: Better Together: Modern methods plus traditional thinking in NP alignment. In In Proceedings of 12th Edition of its Language Resources and Evaluation Conference..
Á. Kovács, E. Ács, J. Ács, A. Kornai, G. Recski: BME-UW at SR'19: Surface realization with Interpreted Regular Tree Grammars. In Proceedings of the 2nd Workshop on Multilingual Surface Rea lisation (MSR), 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP). Á. Kovács, G. Recski, K. Gémes: Machine comprehension using semantic graphs. In Proceedings of the Automation and Applied Computer Science Workshop 2019 : AACS'19.
Á. Kovács, G. Recski: Knowledge base population using natural language inference. In Proceedings of Automation and Applied Computer Science Workshop. Á. Kovács, K. Gémes: Semantic parsing with graph transformations. In Scientific Student's Assosiactions Report. Á. Kovács: Semantic parsing with graph transformations MSc Thesis. In Thesis.