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Results: 3
Number of items: 3
  • Open Access
    Hu, Z., Havrylov, S., Titov, I., & Cohen, S. B. (2020). Obfuscation for privacy-preserving syntactic parsing. In G. Bouma, Y. Matsumoto, S. Oepen, K. Sagae, D. Seddah, W. Sun, A. Søgaard, R. Tsarfaty, & D. Zeman (Eds.), The 16th International Conference on Parsing Technologies and IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies: IWPT 2020 : Proceedings of the Conference : July 9, 2020 (pp. 62-72). Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.iwpt-1.7
  • Open Access
    Bražinskas, A., Havrylov, S., & Titov, I. (2018). Embedding Words as Distributions with a Bayesian Skip-gram Model. In E. M. Bender, L. Derczynski, & P. Isabelle (Eds.), The 27th International Conference on Computational Linguistics: COLING 2018 : proceedings of the conference : August 20-26, 2018, Santa Fe, New Mexico, USA (pp. 1775-1789). Association for Computational Linguistics. https://www.aclweb.org/anthology/C18-1151/
  • Open Access
    Havrylov, S., & Titov, I. (2018). Emergence of language with multi-agent games: Learning to communicate with sequences of symbols. In U. von Luxburg, I. Guyon, S. Bengio, H. Wallach, R. Fergus, S. V. N. Vishwanathan, & R. Garnett (Eds.), 31st Conference on Advances in Neural Information Processing Systems (NIPS 2017): Long Beach, California, USA, 4-9 December 2017 (Vol. 4, pp. 2150-2160). (Advances in Neural Information Processing Systems; Vol. 30). Neural Information Processing Systems. https://papers.nips.cc/paper_files/paper/2017/hash/70222949cc0db89ab32c9969754d4758-Abstract.html
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