Society has reached a point of no return, one that leaves us completely reliant on omnipresent ICT-mediated communication. Mobile and sensor-rich portable devices connect millions of humans with Petabytes of data and numerous on-line services. However, tearing down the physical-digital barrier in a scalable fashion requires both radically novel algorithmic knowledge and in-depth understanding of humans and societies. We will deliver major theoretical advances in real-time intelligent information management of large datasets including online social networks, mobile devices and humans in physical space by delivering three functions: “alert”, by real-time location-aware knowledge acquisition, analysis and visualization; “response”, through on-demand composition and coordination of large teams; and effective “communication”, through recommendation and personalization.
Publication date
2021
In: XVII. Magyar Számítógépes Nyelvészeti Konferencia Szegedi Tudományegyetem, Informatikai Intézet, Szeged, pp. 15-28.
Evaluating Contextualized Language Models for Hungarian
In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume Association for Computational Linguistics (ACL), Stroudsburg (PA), pp. 2284-2295.
In: COLING 2020, Multilingual Surface Realisation, Proceedings of the Third Workshop Association for Computational Linguistics (ACL), Barcelona, pp. 21-29.
BME-TUW at SR’20: Lexical grammar induction for surface realization
In: Proceedings of the Fourteenth Workshop on Semantic Evaluation, SEMEVAL 2020 Association for Computational Linguistics (ACL), Barcelona, pp. 135-141.
BMEAUT at SemEval-2020 Task 2: Lexical entailment with semantic graphs