Author:
Pletenev Sergey,Moskovskiy Daniil,Chekalina Viktoriia,Seleznyov Mikhail,Zagoruyko Sergey,Panchenko Alexander
Publisher
Springer Nature Switzerland
Reference31 articles.
1. Bishop, C.M., Nasrabadi, N.M.: Pattern recognition and machine learning. J. Electron. Imaging 16(4), 049901 (2007)
2. Cer, D.M., Diab, M.T., Agirre, E., Lopez-Gazpio, I., Specia, L.: Semeval-2017 task 1: semantic textual similarity - multilingual and cross-lingual focused evaluation. CoRR abs/1708.00055 (2017). https://arxiv.org/abs/1708.00055
3. Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Burstein, J., Doran, C., Solorio, T. (eds.) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, 2–7 June 2019, Volume 1 (Long and Short Papers), pp. 4171–4186. Association for Computational Linguistics (2019). https://doi.org/10.18653/v1/n19-1423
4. Dolan, W.B., Brockett, C.: Automatically constructing a corpus of sentential paraphrases. In: Proceedings of the Third International Workshop on Paraphrasing, IWP@IJCNLP 2005, Jeju Island, Korea, October 2005, 2005. Asian Federation of Natural Language Processing (2005). https://aclanthology.org/I05-5002/
5. Garipov, T., Podoprikhin, D., Novikov, A., Vetrov, D.P.: Ultimate tensorization: compressing convolutional and FC layers alike. CoRR abs/1611.03214 (2016). https://arxiv.org/abs/1611.03214