| Competence in lexical semantics A Kornai, J Acs, M Makrai, DM Nemeskey, K Pajkossy, GA Recski ACL, 2015 | 27 | 2015 |
| A 4lang fogalmi szótár A Kornai, M Makrai Szegedi Tudományegyetem Informatikai Tanszékcsoport, 2013 | 14 | 2013 |
| Filtering Wiktionary Triangles by Linear Mbetween Distributed Word Models M Makrai Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 11 | 2016 |
| 300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes G Berend, M Makrai, P Földiák Proceedings of the 12th international workshop on semantic evaluation, 928-934, 2018 | 9 | 2018 |
| Comparison of distributed language models on medium-resourced languages M Makrai XI. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2015), 22--33, 2015 | 9 | 2015 |
| Spreading activation in language understanding DM Nemeskey, GA Recski, M Makrai, A Zséder, A Kornai National Academy of Sciences of Armenia, 2013 | 7 | 2013 |
| Applicative structure in vector space models M Makrai, D Nemeskey, A Kornai Omnipress, 2013 | 7 | 2013 |
| Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation G Borbély, M Makrai, D Nemeskey, A Kornai Association for Computational Linguistics, 2016 | 6 | 2016 |
| One format to rule them all–The emtsv pipeline for Hungarian B Indig, B Sass, E Simon, I Mittelholcz, N Vadász, M Makrai Association for Computational Linguistics, 2019 | 3 | 2019 |
| Investigating sub-word embedding strategies for the morphologically rich and free phrase-order Hungarian B Döbrössy, M Makrai, B Tarján, G Szaszák Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP …, 2019 | 2 | 2019 |
| Deep cases in the 4lang concept lexicon M Makrai 10th Conference on Hungarian Natural Language Processing [X. Magyar …, 2014 | 2 | 2014 |
| Fogalmak fontossága a definíciós gráf vizsgálatával M Makrai VII. Alkalmazott Nyelvészeti Doktoranduszkonferencia, 143--149, 2013 | 2* | 2013 |
| HILBERT, magyar nyelvű BERT-large modell tanítása felhő környezetben Á Feldmann, R Hajdu, B Indig, B Sass, M Makrai, I Mittelholcz, D Halász, ... Szegedi Tudományegyetem TTIK, Informatikai Intézet, 2021 | | 2021 |
| Tárgyas szerkezetek elemzése tenzorfelbontással – áttekintő cikk [Tensor decomposition for transitive verb structure analysis -- a review] M Makrai XVI. Magyar Számítógépes Nyelvészeti Konferencia, 273–287, 2020 | | 2020 |
| Hibrid nyelvtechnológiák J Ács, G Borbély, M Makrai, DM Nemeskey, GA Recski, A Kornai Magyar Tudomány 179 (7), 955-963, 2018 | | 2018 |
| A szöveg mint skálafüggetlen hálózat M Makrai, B Sass Szegedi Tudományegyetem Informatikai Tanszékcsoport, 2018 | | 2018 |
| Do multi-sense word embeddings learn more senses? M Makrai Research Institute for Linguistics, Hungarian Academy of Sciences (RIL HAS), 2017 | | 2017 |
| Disambiguated linear word translation in medium European languages M Makrai 2015 6th IEEE International Conference on Cognitive Infocommunications …, 2015 | | 2015 |
| Distributed language models for psycholinguistics analysis M Makrai | | 2015 |
| Causality in vectors space language models M Makrai Spring Wind 6, 192--200, 2014 | | 2014 |
Andras KornaiSenior Scientific Adviser, HAS Computer Science Research InstituteVerified email at sztaki.hu
