Author:
Jha Saurav,Tiwari Priyesh,Gupta Shiv Narain,Gupta Vivek
Reference20 articles.
1. D. Khurana, A. Koli, K. Khatter, S. Singh, Natural language processing: state of the art, current trends and challenges (2017). arXiv preprint arXiv:1708.05148
2. T. Wolf, L. Debut, V. Sanh, J. Chaumond, C. Delangue, A. Moi, P. Cistac, T. Rault, R. Louf, M. Funtowicz, J. Brew, HuggingFace’s transformers: state-of-the-art natural language processing. ArXiv, arXiv-1910 (2019)
3. A. Sherstinsky, Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network. Phys. D: Nonlinear Phenomena 404–132306 (2020)
4. A. Romanov, K. Lomotin, E. Kozlova, Application of natural language processing algorithms to the task of automatic classification of Russian scientific texts. Data Sci. J. 18(37), 1–17 (2019)
5. I. Bornkessel-Schlesewsky, D. Roehm, R. Mailhammer, M. Schlesewsky, Language processing as a precursor to language change: evidence from Icelandic. Front. Psychol. 10, 3013 (2020)