Tendencies of development science and practice 330 algorithms for interpreting word vectors


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Reference 
1. J. R. Bellegarda, “Statistical language model adaptation: Review and 
perspectives,” vol. 42, no. 1, pp. 93–108, 2004.
2. Y.-Y. Wang, M. Mahajan, and X. Huang, “A unified context-free grammar and 
n-gram model for spoken language processing,” in IEEE International 
Conference on Acoustics, Speech, and Signal Processing, vol. III, (Istanbul, 
Turkey), pp. 1639–1642, Institute of Electrical and Electronics Engineers, Inc., 
2000 L.


TENDENCIES OF DEVELOPMENT SCIENCE AND PRACTICE 
338 
3. Zhou and D. Zhang, “NLPIR: a theoretical framework for applying natural 
language processing to information retrieval,” J. Am. Soc. Inf. Sci. Technol., 
vol. 54, no. 2, pp. 115–123, 2003 . 
4. Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean, Efficient Estimation of 
Word Representations in Vector Space (2013), International Conference on 
Learning Representations. 
5. Yoshua Bengio, Réjean Ducharme, Pascal Vincent, Christian Jauvin, A Neural 
Probabilistic Language Model (2003), Journal of Machine Learning Research. 
6. https://proglib.io/p/obzor-chetyreh-populyarnyh-nlp-modeley-2020-04-21. 
7. 
https://towardsdatascience.com/a-no-frills-guide-to-most-natural-language-
processing-models-part-1-the-pre-lstm-ice-age-86055dd5d67c
8.

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