Gábor Recski - ODT Personal data sheet


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Personal data sheet

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personal data approved: 2023. IX. 12.

Personal data

name	Gábor Recski
name of institution	Budapest University of Technology and Economics
doctoral school	BME Doctoral School of Informatics (Academic staff member Az oktató a doktori iskola doktoranduszai számára oktat tantárgyat, és/vagy a doktori iskola megszavazta, hogy doktoranduszok számára kutatási témát írjon ki. )
the share of work in the different doctoral schools.	BME Doctoral School of Informatics 100%
accreditation statement submitted to:	Budapest University of Technology and Economics

Contact details
	own web page

Academic title
scientific degree, title	Ph.D.
year degree was obtained	2017
discipline to which degree belongs	linguistics
institution granting the degree	Eötvös Loránd University

Employment
2020 -	TU Wien (research institute, not university) other (not specified) (nem nevesített)

Thesis topic supervisor
number of doctoral students supervised until now	2
number of students who fulfilled course requirements	0
students who obtained their degrees:
	Thesis topic proposals

Research
research area	natural language processing, machine learning, semantic parsing, information extraction
research field in which current research is conducted	computer sciences linguistics

Publications

2023

Gábor Recski, Eszter Iklódi, Björn Lellmann, Ádám Kovács, Allan Hanbury: BRISE-Plandok: a German legal corpus of building regulations, LANGUAGE RESOURCES AND EVALUATION
type of document: Journal paper/Article
language: English

2023

Kovacs A, Gemes K, Kornai A, Recski G: Explainable lexical entailment with semantic graphs, NATURAL LANGUAGE ENGINEERING 29: (5) pp. 1223-1246.
type of document: Journal paper/Article
language: English
URL

2022

Kovács Ádám, Gémes Kinga, Iklódi Eszter, Recski Gábor: POTATO: exPlainable infOrmation exTrAcTion framewOrk, In: ACM (szerk.) Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Association for Computing Machinery (ACM) (2022) pp. 4897-4901.
type of document: Part of book/Proceedings Paper
language: English
URL

2021

Recski Gábor, Lellmann Björn, Kovács Ádám, Allan Hanbury: Explainable Rule Extraction via Semantic Graphs, CEUR WORKSHOP PROCEEDINGS 2888: pp. 24-35.
type of document: Journal paper/Konferenciaközlemény
number of independent citations: 1
language: English

2019

Richard Csaky, Patrik Purgai, Recski Gábor: Improving Neural Conversational Models with Entropy-Based Data Filtering, In: Marquez, L; Traum, D; Korhonen, A (szerk.) 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Association for Computational Linguistics (ACL) (2019) pp. 5650-5669.
type of document: Part of book/Proceedings Paper
language: English
URL

2019

Kovács Á, Ács E, Ács J, Kornai A, Recski G: BME-UW at SR'19: Surface realization with Interpreted Regular Tree Grammars, In: Mille, S; Belz, A; Bohnet, B; Graham, Y; Wanner, L (szerk.) Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR 2019), Association for Computational Linguistics (ACL) (2019) pp. 35-40.
type of document: Part of book/Proceedings Paper
number of independent citations: 4
language: English
URL

2018

Recski Gábor: Building concept definitions from explanatory dictionaries, INTERNATIONAL JOURNAL OF LEXICOGRAPHY 31: (3) pp. 274-311.
type of document: Journal paper/Article
language: English
URL

2016

Recski Gábor: Building Concept Graphs from Monolingual Dictionary Entries, In: Calzolari, N; Choukri, Khalid; Declerck, Thierry; Goggi, Sara; Grobelnik, Marko; Maegaard, Bente; Mariani, Joseph; Mazo, Hélène; Moreno, Asunción; Odijk, Jan; Piperidis., Stelios (szerk.) Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), European Language Resources Association (ELRA) (2016) pp. 2620-2624.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
URL

2016

Recski G, Iklódi E, Pajkossy K, Kornai A: Measuring Semantic Similarity of Words Using Concept Networks, In: Phil, Blunsom; Kyunghyun, Cho; Shay, Cohen; Edward, Grefenstette; Karl, Moritz Hermann; Laura, Rimell; Jason, Weston; Scott, Wen-tau Yih (szerk.) Proceedings of the 1st Workshop on Representation Learning for NLP, Association for Computational Linguistics (ACL) (2016) pp. 193-200.
type of document: Part of book/Proceedings Paper
number of independent citations: 25
language: English
Full text

2014

Recski Gábor: Hungarian Noun Phrase Extraction Using Rule-based and Hybrid Methods, ACTA CYBERNETICA 21: (3) pp. 461-479.
type of document: Journal paper/Article
number of independent citations: 7
language: English
URL

Number of independent citations to these publications:

Scientometric data

list of publications and citations

number of scientific publications that meet accreditation criteria:

number of scientific publications:

monographs and professional books:

monographs/books in which chapters/sections were contributed:

art/engineering creative works:

scientific publications published abroad that meet the accreditation criteria:

publications not in Hungarian, published in Hungary, meeting the accreditation criteria:

number of independent citations to scientific publications and creative works:

118

2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).