dr Nikola LJ. Mrkšić

Akademsko zvanje: Docenti

Datum rođenja: 04.04.1991.

Zaposlen od: 10.06.2019.

Email: nmrksic@raf.rs

Akademska karijera

  • Izbor u zvanje 2019. Računarski fakultet, Inteligentni sistemi
  • Doktorat 2018. University of Cambridge, UK, Računarske nauke
  • Master 2014. University of Cambridge, UK, Računarske nauke
  • Diploma 2013. University of Cambridge, UK, Računarske nauke

Naučno-stručna produkcija

  1. N. Mrkšić, Data-Driven Language Understanding for Spoken Dialogue Systems, Lambert Academic Publishing, Saarbrücken, Germany, 2019, ISBN 978-613-9-47303-8
  2. N. Mrksic, I. Vulic, Fully Statistical Neural Belief Tracking, Proc. 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, July 15 – 20, 2018, 108-113.
  3. E. Maria Ponti, I. Vulic, G. Glavas, N. Mrksic, A. Korhone,: Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization, Proc. Conference on Empirical Methods in Natural Language Processing, Oct. 31–Nov. 4, Brussels, Belgium, 2018, 282-293.
  4. P-H. Su, N. Mrksic, I. Casanueva, I. Vulic, Deep Learning for Conversational AI, Proc. the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, LA, USA, June 1st, 2018, 27-32.
  5. I. Vulic, G. Glavas, N. Mrksic, A. Korhonen, Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources, Proc. the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, Louisiana, USA, June 1-6, 2018, 516-527.
  6. I. Vulic, N. Mrksic; Specialising Word Vectors for Lexical Entailment, Proc. the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, Louisiana, USA, June 1-6, 2018, 1134-1145.
  7. N. Mrksic, I. Vulic, D. Ó Séaghdha, I. Leviant, R. Reichart, M. Gasic, A. Korhonen, S. Young, Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints, Transactions of the Association for Computational Linguistics, 5:309-324, 2017.
  8. M. Gašić, N. Mrkšić, L. M. Rojas-Barahona, P-H. Su, S. Ultes, D. Vandyke, T-H. Wen, S. Young, „Dialogue manager domain adaptation using Gaussian process reinforcement learning“, Computer Speech and Language, 45:552-569, 2017.
  9. I. Vulic, N. Mrksic, R. Reichart, D. Ó Séaghdha, S. Young, A. Korhonen, Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules, Proc. 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada, July 30 – August 4, 2017, 56-68.
  10. S. Ultes, L. M. Rojas-Barahona, P-H. Su, D. Vandyke, D. Kim, I. Casanueva, P. Budzianowski, N. Mrksic, T-H. Wen, M. Gasic, S. Young, PyDial: A Multi-domain Statistical Dialogue System Toolkit, Proc. the 55th Annual Meeting of the Association for Computational Linguistics (Sys Demonstrations), Vancouver, Canada, July 30 – August 4, 2017, 73-78.

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