BME HLT | Márton Makrai

Márton Makrai

I research computational semantics in the framework of the 4lang semantic network and word embeddings (continuous vector space models). I wrote my MSc thesis on a mathematical linguistic formalization of language acquisition (identification in the limit). Now I'm writing my PhD thesis on lexical relations, thematic roles, and inter-lingual word sense induction in the 4lang framework.

I'm a PhD student in the theoretical linguistic programme of the Eötvös Loránd University and the Hungarian Academy of Sciences, and a junior research fellow at the Research Institutes for Linguistics and Cognitive Neuroscience and Psychology of the Hungarian Academy of Sciences.

Personal page
CV
Blog

Contact:

makrai.hlt@gmail.com
Research Institute for Linguistics
1394 Budapest, P.O. Box 360., Hungary
1068 Budapest, Benczúr u. 33., Hungary
Room 320
+36 1 342 9372, extension 6027 (it may be better to wait a while before entering the extension)
Full list of publications

Recent publications
2018
G. Berend, M. Makrai, P. Földiák: 300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes. In SemEval. M. Makrai, B. Sass: A szöveg mint skálafüggetlen hálózat. In XIV. Magyar Számítógépes Nyelvészeti Konferencia. J. Ács, G. Borbély, M. Makrai, D. Nemeskey, G. Recski, A. Kornai: Hibrid nyelvtechnológiák. In Magyar Tudomány 2018/6.
2017
M. Makrai, V. Lipp: Do multi-sense word embeddings learn more senses?. In K + K = 120.
2016
G. Borbély, A. Kornai, M. Makrai, D. Nemeskey: Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation. In repeval. M. Makrai: Filtering Wiktionary triangles by linear mapping between distributed word models. In Proceedings of 10th Edition of the Language Resources and Evaluation Conference.
2015
M. Makrai: Comparison of distributed language models on medium-resourced languages. In XI. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 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. M. Makrai: Disambiguated linear word translation in medium European languages. In IEEE 6th International Conference on Cognitive Infocommunications – CogInfoCom 2015.
2014
M. Makrai: Causality in vectors space language models. In Spring Wind. M. Makrai: Deep cases in the 4lang concept lexicon. In X. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2014). M. Makrai: Vector space language models for psycholinguistic analysis. In Corpus resources for quantitative and psycholinguistic analysis.
2013
A. Kornai, M. Makrai: A 4lang fogalmi szótár. In IX. Magyar Számitógépes Nyelvészeti Konferencia. M. Makrai, D. Nemeskey, A. Kornai: Applicative structure in vector space models. In Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality. M. Makrai: Fogalmak fontossága a definíciós gráf vizsgálatával [Importance of concepts based on the analysis of the definition graph]. In VII. Alkalmazott Nyelvészeti Doktoranduszkonferencia. D. Nemeskey, G. Recski, M. Makrai, A. Zséder, A. Kornai: Spreading activation in language understanding. In Proc. CSIT 2013.
2007
M. Makrai: Többértelműségek magyar mondatok számítógépes elemzésében - a „meg” szó szófajának vizsgálata gyakoriságokkal.
Publications
Projects
4lang Semantics-based language technology digital language vitality
Teaching
Computational Lexical Semantics -- Symbolic Representations Computational Lexical Semantics 2. Digital language description Efficient methods in language description Meaning representation Vector space models of word meaning