SZTAKI HLT | Gábor Recski

Gábor Recski

Gábor has been working on natural language technologies since 2008, when as a linguistics major he learned to code from HP and Dániel at MOKK. After nearly a year of working on the sequential tagger HunTag, he joined András's group at the (then still independent) SZTAKI, where he spent 4 years working on various NLP projects, including a hybrid NP-chunker, a tool for entity linking, a learner of weighted grammars, and a system for natural language understanding based on the 4lang theory of semantics. After spending 15 months at Cliqz, Gábor continued work on the 4lang library, the main topic of his dissertation, as a junior researcher at the Research Institute for Linguistics of the (then still independent) Hungarian Academy of Sciences. After finishing his dissertation in 2016, Gábor joined the faculty of BME AUT, where he continued working on graph-based models of semantics and taught an introductory course in NLP. Since the fall of 2018 he lives in Vienna and works as a research engineer at Apollo.AI.

CV

Contact:
+4367762968104

gabor.recski@gmail.com

Full list of publications

Recent publications
2019
E. Ács, G. Recski: Generating IRTG grammars from parallel data. In Proceedings of the Automation and Applied Computer Science Workshop 2019 : AACS'19. E. Ács, Á. Holló-Szabó, G. Recski: Parsing noun phrases with Interpreted Regular Tree Grammars. In XV. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2019).
2018
G. Recski: Building concept definitions from explanatory dictionaries. In International Journal of Lexicography 31/3. E. Ács, G. Recski: Evaluation of Universal Dependency parsers for Hungarian. In XIV. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2018). J. Ács, G. Borbély, M. Makrai, D. Nemeskey, G. Recski, A. Kornai: Hibrid nyelvtechnológiák. In Magyar Tudomány 2018/6. Á. Kovács, G. Recski: Knowledge base population using natural language inference. In Proceedings of Automation and Applied Computer Science Workshop. E. Ács, G. Recski: Semantic parsing with Interpreted Regular Tree Grammars. In Proceedings of the Automation and Applied Computer Science Workshop 2018 : AACS'18. B. Kemény, G. Recski: Természetes nyelvi interfész menetrend- és utazástervező szolgáltatásokhoz. In XIV. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2018).
2017
J. Ács, D. Nemeskey, G. Recski: Building word embeddings from dictionary definitions. In Papers dedicated to László Kálmán and András Kornai on the occasion of their 60th birthdays. B. Gyuris, K. Mády, G. Recski: K + K = 120. Papers dedicated to László Kálmán and András Kornai on the occasion of their 60th birthdays.
2016
G. Recski: Building concept graphs from monolingual dictionary entries. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). G. Recski, A. Bolevácz, G. Borbély: Building definition graphs using monolingual dictionaries of Hungarian. In XII. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2016). G. Recski: Computational methods in semantics. A. Kornai, D. Nemeskey, G. Recski: Detecting Optional Arguments of Verbs. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). G. Recski, E. Iklódi, K. Pajkossy, A. Kornai: Measuring semantic similarity of words using concept networks. In Proceedings of the 1st Workshop on Representation Learning for NLP.
2015
A. Kornai, J. Ács, M. Makrai, D. Nemeskey, K. Pajkossy, G. Recski: Competence in lexical semantics. In Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics. G. Recski, J. Ács: MathLingBudapest: Concept Networks for Semantic Similarity. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015).
2014
G. Recski: Hungarian Noun Phrase Extraction Using Rule-based and Hybrid Methods. In Acta Cybernetica.
2013
G. Recski: Egy általános célú morfológiai annotáció kiterjesztése [Extending a general-purpose morphological annotation system]. In VII. Alkalmazott Nyelvészeti Doktoranduszkonferencia. G. Recski, A. Rung: Identifying Epenthetic Nouns using Maximum Entropy Classification. In VLLXX: Papers Presented to László Varga on his 70th Birthday. D. Nemeskey, G. Recski, M. Makrai, A. Zséder, A. Kornai: Spreading activation in language understanding. In Proc. CSIT 2013. A. Kornai, A. Zséder, G. Recski: Structure Learning in Weighted Languages. In Proceedings of the 13th Meeting on the Mathematics of Language (MoL 13).
2012
G. Recski, D. Varga: Magyar főnévi csoportok azonosítása. In Általános {N}yelvészeti {T}anulmányok. D. Nemeskey, G. Recski, A. Zséder: Miből lesz a robot MÁV-pénztáros?. In IX. Magyar Számitógépes Nyelvészeti Konferencia [Ninth Conference on Hungarian Computational Linguistics]. A. Zséder, G. Recski, D. Varga, A. Kornai: Rapid creation of large-scale corpora and frequency dictionaries. In Proceedings to LREC 2012.
2011
G. Recski: A sekély mondattani elemzés további lépései. In VIII. Magyar Számítógépes Nyelvészeti Konferencia.
2010
D. Nemeskey, G. Recski, A. Zséder, A. Kornai: BUDAPESTACAD at TAC. In Proceedings of TAC 2010. G. Recski: Főnévi csoportok azonosítása szabályalapú és hibrid módszerekkel. In VII. Magyar Számítógépes Nyelvészeti Konferencia. G. Recski, A. Kornai, A. Zséder, A. Kornai: NP Alignment in Bilingual Corpora. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10). G. Recski: NP Chunking in Hungarian.
2009
G. Recski, D. Varga: A Hungarian NP Chunker. In The Odd Yearbook. ELTE SEAS Undergraduate Papers in Linguistics. G. Recski, D. Varga, A. Zséder, A. Kornai: Főnévi csoportok azonosítása magyar-angol párhuzamos korpuszban. In VI. Magyar Számitógépes Nyelvészeti Konferencia [6th Hungarian Conference on Computational Linguistics].
Publications
Projects
4lang Semantics-based language technology
Software
HunTag
Teaching
Introduction to Python and Human Language Technologies Introduction to programming Programming