Publications

Gábor Recski and Fanni Kádár. Language complexity in human and machine translation: a preliminary study. In Proceedings of the International Conference on Human-Informed Translation and Interpreting Technology (HiT-IT 2023), pages 268--281, Naples, Italy, 2023. [ bib | DOI | .pdf ]

Gábor Recski, Eszter Iklódi, Björn Lellmann, Ádám Kovács, and Allan Hanbury. BRISE: a German legal corpus of building regulations, 2023. under review in Language Resources and Evaluation. [ bib | http ]

Ádám Kovács, Kinga Gémes, András Kornai, and Gábor Recski. Explainable lexical entailment with semantic graphs. Natural Language Engineering, (5):1223–1246, 2023. [ bib | DOI | http ]

Ádám Kovács, Kinga Gémes, Eszter Iklódi, and Gábor Recski. POTATO: ExPlainable InfOrmation ExTrAcTion FramewOrk. In Proceedings of the 31st ACM International Conference on Information and Knowledge Management, CIKM '22, page 4897–4901, New York, NY, USA, 2022. Association for Computing Machinery. [ bib | DOI | http ]

Kinga Gémes, Ádám Kovács, and Gábor Recski. Offensive text detection across languages and datasets using rule-based and hybrid methods. In Proceedings of the CIKM 2022 Workshops, Atlanta, USA, 2022. CEUR. [ bib | .pdf ]

Kinga Gémes and Gábor 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, pages 69--75, Heinrich Heine University Düsseldorf, Germany, September 2021. [ bib | http ]

Gabor Recski, Björn Lellmann, Adam Kovacs, and Allan Hanbury. Explainable rule extraction via semantic graphs. In Proceedings of the Fifth Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2021), pages 24--35, São Paulo, Brazil, 2021. CEUR Workshop Proceedings. [ bib | .pdf ]

Kinga Gémes, Ádám Kovács, Marcus Reichel, and Gábor Recski. Offensive text detection on English Twitter with deep learning models and rule-based systems. In FIRE 2021 Working Notes, pages 283--296, Gandhinagar, India, 2021. CEUR. [ bib | .pdf ]

Richard Csaky and Gábor Recski. The Gutenberg dialogue dataset. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 138--159, Online, 2021. Association for Computational Linguistics. [ bib | DOI | http ]

Johannes Bogensperger, Sven Schlarb, Allan Hanbury, and Gábor Recski. DreamDrug - a crowdsourced NER dataset for detecting drugs in darknet markets. In Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021), pages 137--157, Online, 2021. Association for Computational Linguistics. [ bib | http ]

Gábor Recski, Ádám Kovács, Kinga Gémes, Judit Ács, and Andras Kornai. BME-TUW at SR'20: Lexical grammar induction for surface realization. In Proceedings of the Third Workshop on Multilingual Surface Realisation, pages 21--29, Barcelona, Spain (Online), 12 2020. Association for Computational Linguistics. [ bib | http ]

Ádám Kovács, Kinga Gémes, Andras Kornai, and Gábor Recski. BMEAUT at SemEval-2020 task 2: Lexical entailment with semantic graphs. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 135--141, Barcelona (online), 12 2020. International Committee for Computational Linguistics. [ bib | http ]

Ádám Kovács, Judit Ács, Andras Kornai, and Gábor Recski. Better together: Modern methods plus traditional thinking in NP alignment. In Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, and Stelios Piperidis, editors, Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 3635--3639, Marseille, France, 2020. European Language Resources Association. [ bib | http ]

Tobias Fink, Gábor Recski, and Allan Hanbury. FIRE2020 AILA Track: Legal domain search with minimal domain knowledge. In Forum for Information Retrieval Evaluation (FIRE), pages 76--81, Hyderabad, India, 2020. CEUR. [ bib | .pdf ]

Ádám Kovács, Evelin Ács, Judit Ács, András Kornai, and Gábor Recski. BME-UW at SRST-2019: Surface realization with interpreted regular tree grammars. In Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR 2019), pages 35--40, Hong Kong, China, 2019. Association for Computational Linguistics. [ bib | DOI | http ]

B. Gyuris, K. Mády, and G. Recski, editors. K + K = 120: Papers dedicated to László Kálmán and András Kornai on the occasion of their 60th birthdays. Research Institute for Linguistics, Hungarian Academy of Sciences), Budapest, 2019. [ bib | .html ]

Nina Gusenleitner, Sandra Siedl, Gernot Stübl, Axel Polleres, Gabor Recski, Roland Sommer, Maria Chiara Leva, Mario Pichler, Theodorich Kopetzky, and Bernhard A Moser. Facing mental workload in AI-transformed working environments. In H-Workload 2019: 3rd International Symposium on Human Mental Workload: Models and Applications (Works in Progress), pages 91--95, 2019. [ bib ]

Kinga Gémes, Ádám Kovács, and Gábor Recski. Machine comprehension using semantic graphs. In Dmitriy Dunaev and István Vajk, editors, Proceedings of the Automation and Applied Computer Science Workshop 2019 : AACS'19, pages 90--98. Budapest University of Technology and Economics, 2019. [ bib | .pdf ]

Richárd Csáky, Patrik Purgai, and Gábor Recski. Improving neural conversational models with entropy-based data filtering. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5650--5669, Florence, Italy, 2019. Association for Computational Linguistics. [ bib | http ]

Maria Jose Castro-Bleda, Eszter Iklódi, Gábor Borbély, and Gábor Recski. Towards a universal semantic dictionary. Applied Sciences, 9(19):4060, 2019. [ bib | http ]

Evelin Ács and Gábor Recski. Generating irtg grammars from parallel data. In Dmitriy Dunaev and István Vajk, editors, Proceedings of the Automation and Applied Computer Science Workshop 2019 : AACS'19, pages 9--15. Budapest University of Technology and Economics, 2019. [ bib | .pdf ]

Judit Ács, Dávid Márk Nemeskey, and Gábor Recski. Building word embeddings from dictionary definitions. In Katalin Mády Beáta Gyuris and Gábor Recski, editors, K + K = 120: Papers dedicated to László Kálmán and András Kornai on the occasion of their 60th birthdays. Research Institute for Linguistics, Hungarian Academy of Sciences (RIL HAS), 2019. [ bib | .pdf ]

Evelin Ács, Ákos Holló-Szabó, and Gábor Recski. Parsing noun phrases with Interpreted Regular Tree Grammars. In Gábor Berend, Gábor Gosztolya, and Veronika Vincze, editors, XV. Magyar Számítógépes Nyelvészeti Konferencia, pages 301--313, 2019. [ bib | .pdf ]

Gábor Recski. Building concept definitions from explanatory dictionaries. International Journal of Lexicography, 31:274--311, 2018. [ bib | DOI | http ]

Ádám Kovács and Gábor Recski. Knowledge base population using natural language inference. In Dmitriy Dunaev and István Vajk, editors, Proceedings of the Automation and Applied Computer Science Workshop 2018 : AACS'18, pages 19--24. Budapest University of Technology and Economics, 2018. [ bib | .pdf ]

Boldizsár Kemény and Gábor Recski. Természetes nyelvi interfész menetrend- és utazástervező szolgáltatásokhoz [a natural language interface for urban mobility applications]. In Gábor Berend, Gábor Gosztolya, and Veronika Vincze, editors, XV. Magyar Számítógépes Nyelvészeti Konferencia, 2018. [ bib | .pdf ]

Kinga Gémes and Ádám Kovács. Semantic parsing with graph transformations. Technical report, Budapest University of Technology and Economics, Budapest, 2018. [ bib | http ]

Evelin Ács and Gábor Recski. Evaluation of universal dependency parsers for Hungarian. In Veronika Vincze, editor, XIV. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2018). Szegedi Tudományegyetem Informatikai Tanszékcsoport, 2018. [ bib | .pdf ]

Evelin Ács and Gábor Recski. Semantic parsing with interpreted regular tree grammars. In Dmitriy Dunaev and István Vajk, editors, Proceedings of the Automation and Applied Computer Science Workshop 2018 : AACS'18, pages 43--53. Budapest University of Technology and Economics, 2018. [ bib | .pdf ]

J. Ács, G. Borbély, M. Makrai, D. Nemeskey, G. Recski, and A. Kornai. Hibrid nyelvtechnológiák. Magyar Tudomány, 6, 2018. [ bib | .pdf ]

Gábor Recski. Building concept graphs from monolingual dictionary entries. In Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, and Stelios Piperidis, editors, Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2620--2624, Portorož, Slovenia, 2016. European Language Resources Association (ELRA). [ bib | http ]

Gábor Recski, Eszter Iklódi, Katalin Pajkossy, and András Kornai. Measuring semantic similarity of words using concept networks. In Proceedings of the 1st Workshop on Representation Learning for NLP, pages 193--200, Berlin, Germany, 2016. Association for Computational Linguistics. [ bib | DOI | http ]

Gábor Recski, Gábor Borbély, and Attila Bolevácz. Building definition graphs using monolingual dictionaries of Hungarian. In Attila Tanács, Viktor Varga, and Veronika Vincze, editors, XI. Magyar Számitógépes Nyelvészeti Konferencia [11th Hungarian Conference on Computational Linguistics, 2016. [ bib | .pdf ]

Gábor Recski. Computational methods in semantics. PhD thesis, Eötvös Loránd University, Budapest, 2016. [ bib | .pdf ]

András Kornai, Dávid Márk Nemeskey, and Gábor Recski. Detecting optional arguments of verbs. In Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, and Stelios Piperidis, editors, Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2815--2818, Portorož, Slovenia, 2016. European Language Resources Association (ELRA). [ bib | http ]

Gábor Recski and Judit Ács. MathLingBudapest: Concept networks for semantic similarity. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 138--142, Denver, Colorado, 2015. Association for Computational Linguistics. [ bib | DOI | http ]

András Kornai, Judit Ács, Márton Makrai, Dávid Márk Nemeskey, Katalin Pajkossy, and Gábor Recski. Competence in lexical semantics. In Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, pages 165--175, Denver, Colorado, 2015. Association for Computational Linguistics. [ bib | DOI | http ]

Gábor Recski. Hungarian noun phrase extraction using rule-based and hybrid methods. Acta Cybernetica, 21(33):461--479, 2014. [ bib | DOI | .pdf ]

Gábor Recski and András Rung. Identifying epenthetic nouns using maximum entropy classification. In Péter Szigetvári, editor, VLLXX: Papers Presented to László Varga on his 70th Birthday. ELTE, 2013. [ bib | .html ]

Gábor Recski. Egy általános célú morfológiai annotáció kiterjesztése [Extending a general-purpose morphological annotation system. In T. Váradi, editor, VII. Alkalmazott Nyelvészeti Doktoranduszkonferencia. MTA Nyelvtudományi Intézet Budapest, 2013. [ bib ]

Dávid Nemeskey, Gábor Recski, Márton Makrai, Attila Zséder, and András Kornai. Spreading activation in language understanding. In Proceedings of the 9th International Conference on Computer Science and Information Technologies (CSIT 2013), pages 140--143, Yerevan, Armenia, 2013. Springer. [ bib | .pdf ]

András Kornai, Attila Zséder, and Gábor Recski. Structure learning in weighted languages. In Proceedings of the 13th Meeting on the Mathematics of Language (MoL 13), pages 72--82, Sofia, Bulgaria, 2013. Association for Computational Linguistics. [ bib | http ]

Attila Zséder, Gábor Recski, Dániel Varga, and András Kornai. Rapid creation of large-scale corpora and frequency dictionaries. In Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, and Stelios Piperidis, editors, Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1462--1465, Istanbul, Turkey, 2012. European Language Resources Association (ELRA). [ bib | .pdf ]

Gábor Recski and Dániel Varga. Magyar főnévi csoportok azonosí itása. Általános Nyelvészeti Tanulmányok, 24, 2012. [ bib ]

Dávid Nemeskey, Gábor Recski, and Attila Zséder. Miből lesz a robot MÁV-pénztáros? [The makings of a robotic ticket-clerk. In IX. Magyar Számitógépes Nyelvészeti Konferencia [Ninth Conference on Hungarian Computational Linguistics, 2012. [ bib ]

Gábor Recski. A sekély mondattani elemzés további lépései. In Attila Tanács and Veronika Vincze, editors, VIII. Magyar Számítógépes Nyelvészeti Konferencia, pages 113--118, 2011. [ bib ]

Gábor Recski. Np chunking in hungarian. Master's thesis, Eötvös Loránd University, Budapest, 2010. [ bib | .pdf ]

Gábor Recski and Dániel Varga. A Hungarian NP Chunker. The Odd Yearbook. ELTE SEAS Undergraduate Papers in Linguistics, 8:87--93, 2010. [ bib | .pdf ]

Gábor Recski, András Rung, Attila Zséder, and András Kornai. NP alignment in bilingual corpora. In Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Mike Rosner, and Daniel Tapias, editors, Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), Valletta, Malta, 2010. European Language Resources Association (ELRA). [ bib | .pdf ]

Gábor Recski. Főnévi csoportok azonosítása szabályalapú és hibrid módszerekkel. In Attila Tanács and Veronika Vincze, editors, VII. Magyar Számítógépes Nyelvészeti Konferencia, pages 333--341, 2010. [ bib ]

Gábor Recski, Dániel Varga, Attila Zséder, and András Kornai. Főnévi csoportok azonosítása magyar-angol párhuzamos korpuszban [Identifying noun phrases in a parallel corpus of English and Hungarian. VI. Magyar Számítógépes Nyelvészeti Konferencia [6th Hungarian Conference on Computational Linguistics, 2009. [ bib ]