SZTAKI HLT | Kinga Gémes

SZTAKI HLT | Kinga Gémes

Kinga Gémes

PhD student at BME AUT. My main interest are semantic graphs and deep learning of graph transformations.

CV

Contact:

gemes.kingaandrea@aut.bme.hu

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Full list of publications

Recent publications

2022

Á. Kovács, K. Gémes, A. Kornai, G. Recski: Explainable lexical entailment with semantic graphs. In Natural Language Engineering.

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.

Publications