@inproceedings{MTMT:34770083,
	title = {Transformer Models in Natural Language Processing},
	url = {https://m2.mtmt.hu/api/publication/34770083},
	author = {Kovács, László and Csépányi-Fürjes, László and Sewunetie, Walelign Tewabe},
	booktitle = {The 17th International Conference Interdisciplinarity in Engineering},
	doi = {10.1007/978-3-031-54674-7_14},
	unique-id = {34770083},
	abstract = {The development of transformer-based language models brings a paradigm shift in the world of smart applications. The ChatGPT model opened new horizons in the field of natural language understanding and generation. This paper presents a survey on the history of transformer models, on the basic architecture and application areas. The last section is devoted to two use cases experiments on the application of ChatGPT. The first domain relates to Human-Level Programming and the second focuses on the semantic functional parsing of text sentences. The performed analysis demonstrates the big potential in the transformer language models.},
	year = {2024},
	pages = {180-193},
	orcid-numbers = {Csépányi-Fürjes, László/0000-0001-5687-1671}
}

@article{MTMT:34721788,
	title = {A Comparative Study of ChatGPT-Based and Hybrid Parser-based Sentence Parsing Methods for Semantic Graph-Based Induction},
	url = {https://m2.mtmt.hu/api/publication/34721788},
	author = {Sewunetie, Walelign Tewabe and Kovács, László},
	doi = {10.1109/ACCESS.2024.3360480},
	journal-iso = {IEEE ACCESS},
	journal = {IEEE ACCESS},
	unique-id = {34721788},
	issn = {2169-3536},
	year = {2024},
	eissn = {2169-3536}
}

@article{MTMT:34628060,
	title = {Conceptual clustering with application on FCA context},
	url = {https://m2.mtmt.hu/api/publication/34628060},
	author = {Kovács, László},
	doi = {10.1016/j.eswa.2023.123013},
	journal-iso = {EXPERT SYST APPL},
	journal = {EXPERT SYSTEMS WITH APPLICATIONS},
	volume = {245},
	unique-id = {34628060},
	issn = {0957-4174},
	keywords = {K-means clustering; formal concept analysis; Conceptual clustering; Concept lattice reduction; Quality threshold clustering},
	year = {2024},
	eissn = {1873-6793}
}

@{MTMT:34573751,
	title = {INTELLIGENS OKTATÓRENDSZEREK GRÁF ALAPÚ TUDÁSÁLLAPOT VIZUALIZÁCIÓJA},
	url = {https://m2.mtmt.hu/api/publication/34573751},
	author = {Csépányi-Fürjes, László and Kovács, László},
	booktitle = {Oktatás - Informatika - Pedagógia 2024},
	unique-id = {34573751},
	year = {2024},
	pages = {20-20},
	orcid-numbers = {Csépányi-Fürjes, László/0000-0001-5687-1671}
}

@article{MTMT:34518995,
	title = {Automatic question generation using extended dependency parsing},
	url = {https://m2.mtmt.hu/api/publication/34518995},
	author = {Sewunetie, Walelign Tewabe and Kovács, László},
	doi = {10.11591/ijeecs.v33.i2.pp1108-1115},
	journal-iso = {IJEECS},
	journal = {INDONESIAN JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE},
	volume = {33},
	unique-id = {34518995},
	issn = {2502-4752},
	abstract = {The importance of automatic question generation (AQG) systems in education is recognized for automating tasks and providing adaptive assessments. Recent research focuses on improving quality with advanced neural networks and machine learning techniques. However, selecting the appropriate target sentences and concepts remains challenging in AQG systems. To address this problem, the authors created a novel system that combined sentence structure analysis, dependency parsing approach, and named entity recognition techniques to select the relevant target words from the given sentence. The main goal of this paper is to develop an AQG system using syntactic and semantic sentence structure analysis. Evaluation using manual and automatic metrics shows good performance on simple and short sentences, with an overall score of 3.67 out of 5.0. As the field of AQG continues to evolve rapidly, future research should focus on developing more advanced models that can generate a wider range of questions, especially for complex sentence structures.},
	year = {2024},
	eissn = {2502-4760},
	pages = {1108-1115}
}

@article{MTMT:34446823,
	title = {Tandem részsztringek detektálása neurális háló alkalmazásával},
	url = {https://m2.mtmt.hu/api/publication/34446823},
	author = {Kovács, László and Polonkai, Dávid},
	journal-iso = {PROD SYST INFORM ENG},
	journal = {PRODUCTION SYSTEMS AND INFORMATION ENGINEERING},
	volume = {11},
	unique-id = {34446823},
	issn = {1785-1270},
	year = {2023},
	pages = {33-42}
}

@article{MTMT:34446816,
	title = {Nembináris Regressziós Fák vizsgálata},
	url = {https://m2.mtmt.hu/api/publication/34446816},
	author = {Péter, Bán and Kovács, László},
	journal-iso = {PROD SYST INFORM ENG},
	journal = {PRODUCTION SYSTEMS AND INFORMATION ENGINEERING},
	volume = {11},
	unique-id = {34446816},
	issn = {1785-1270},
	year = {2023},
	pages = {61-72}
}

@article{MTMT:34446767,
	title = {Graphs Unveiled: Graph Neural Networks and Graph Generation},
	url = {https://m2.mtmt.hu/api/publication/34446767},
	author = {Kovács, László and Jlidi, Ali},
	journal-iso = {PROD SYST INFORM ENG},
	journal = {PRODUCTION SYSTEMS AND INFORMATION ENGINEERING},
	volume = {11},
	unique-id = {34446767},
	issn = {1785-1270},
	year = {2023},
	pages = {54-66}
}

@inproceedings{MTMT:34317890,
	title = {Efficiency Evaluation of ChatGPT for Adverb Type Categorization},
	url = {https://m2.mtmt.hu/api/publication/34317890},
	author = {Sewunetie, Walelign Tewabe and Kovács, László},
	booktitle = {2023 World Symposium on Digital Intelligence for Systems and Machines (DISA)},
	doi = {10.1109/DISA59116.2023.10308928},
	unique-id = {34317890},
	year = {2023},
	pages = {199-203}
}

@article{MTMT:34227666,
	title = {Okos szerződések, blokklánc-technológia és egy gondolatkísérlet mindezek alkalmazására a közigazgatásban},
	url = {https://m2.mtmt.hu/api/publication/34227666},
	author = {Czékmann, Zsolt and Kovács, László and Czibrik, Eszter},
	doi = {10.26521/profuturo/2023/1/13337},
	journal-iso = {PRO FUTURO},
	journal = {PRO FUTURO - A JÖVŐ NEMZEDÉKEK JOGA},
	volume = {13},
	unique-id = {34227666},
	issn = {2063-1987},
	abstract = {A tanulmány körbejárja az okos szerződésekkel összefüggésben felmerülő kérdéseket, hangsúlyt fektetve a blokklánc-technológia adta lehetőségekre. Az alkalmazott fő kutatási módszer a témában született releváns hazai, illetve külföldi források, úgy, mint tanulmányok, jogszabályok vizsgálata, valamint egy gondolatkísérlet végig futtatása, abban a tekintetben, hogy miképp is lehetne az okos szerződéseket, valamint a blokklánc technológiát a hazai közigazgatásban alkalmazni, fókuszba helyezve az ingatlan-nyilvántartási eljárást.},
	keywords = {blokklánc; hatósági eljárás; okos szerződés; ingatlan-nyilvántartás},
	year = {2023},
	eissn = {2063-2754},
	pages = {1-13},
	orcid-numbers = {Czékmann, Zsolt/0000-0002-5611-3878; Czibrik, Eszter/0000-0001-5606-6496}
}