SZTAKI HLT | Gémes Kinga

Gémes Kinga

PhD hallgató vagyok az BME AUT tanszéken. Elsősorban a szemantikai gráfok és a gráf transzformációk mély tanulása érdekel.

CV

Elérhetőség:

gemes.kingaandrea@aut.bme.hu

Teljes publikációs lista

Legfrissebb publikációk
2022
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.
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. K. Gémes, G. Recski: TUW-Inf at GermEval2021: Rule-based and Hybrid Methods for Detecting Toxic, Engaging, and Fact-Claiming Comments. In Proceedings of the GermEval 2021 Workshop on the Identification of Toxic, Engaging, and Fact-Claiming Comments.
2020
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.
2019
K. Gémes: Deep learning of graph transformations. In MSc Thesis. Á. Kovács, G. Recski, K. Gémes: Machine comprehension using semantic graphs. In Proceedings of the Automation and Applied Computer Science Workshop 2019 : AACS'19.
2018
Á. Kovács, K. Gémes: Semantic parsing with graph transformations. In Scientific Student's Assosiactions Report.
Publikációk