Directions
Study of algorithms and AI.
Integration of computing and physical processes in manufacturing and logistics.
Researching and applying mathematical techniques to optimise and learn from data.
The National Laboratories coordinated by HUN-REN SZTAKI aim to strengthen domestic R&D and boost the competitiveness of the economy with innovative, world-class solutions.
The goal of this Platform is to support Internet-based economy and innovation by stepping into a new era of technology. Read more
Scientific cloud services for research projects. Read more
Scientific Data Repository for the Hungarian Research Community. Read more
In: Proceedings of the 1st Workshop on Representation Learning for NLP Association for Computational Linguistics, Berlin, pp. 193-200.
In: Conference Computer Science and Information Technologies. Proceedings National Academy of Sciences of Armenia, Yerevan, pp. 140-143.
INFORMATION SYSTEMS FRONTIERS, 20 (5)., pp. 909-923. ISSN 1387-3326
ACTA LINGUISTICA ACADEMIAE SCIENTIARUM HUNGARICAE, 35, pp. 117-131. ISSN 0001-5946
In: Proc. 2014 LREC Workshop on Indian Language Data, 2014.05.26-2014.05.31, Reykjavik.
In: Proc. 16th Formal Grammar Conference.
In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) European Language Resources Association (ELRA), Portoroz, pp. 2815-2818.
In: IEEE SocialCom, 3rd International Conference on Social Computing.
In: Tokens of Meaning: Papers in Honor of Lauri Karttunen CSLI Publications, Stanford (CA), pp. 511-524.
JOURNAL OF LOGIC LANGUAGE AND INFORMATION, 23 (4)., pp. 481-492. ISSN 0925-8531