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NATURAL LANGUAGE PROCESSING: AN OVERVIEW
Lyudmyla Guryeyeva

Last modified: 2021-11-23

Abstract


References

Hore P., C. S. (2019, November 20). A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone. [Blog post]. Retrieved from  https://www.analyticsvidhya.com/blog/2019/11/comprehensive-guide-attention-mechanism-deep-learning/

Minaee, S. K. (2021, January). Deep Learning Based Text Classification: A Comprehensive Review. ACM Computing Surveys (CSUR), 54(3), 1-40. https://doi.org/10.1145/3439726

Park, S. B. (2010, November). Natural language-based user interface for mobile devices with limited resources. IEEE Transactions on Consumer Electronics, 56(4), 2086-2092. Doi:10.1109/TCE.2010.5681076

Turchin, A. (2021). Using Natural Language Processing to Measure and Improve Quality of Diabetes Care: A Systematic Review. Journal of Diabetes Science and Technology, 15(3), 553-560. Doi: https://doi.org/10.1177/19322968211000831

Gudivada, V. N., Rao, D., Raghavan, V. (2015). Big Data Driven Natural Language Processing Research and Applications. Handbook of Statistics, 33, 203-238. https://doi.org/10.1016/B978-0-444-63492-4.00009-5

Zarcone, R. E. (2020). Analog Coding in Emerging Memory Systems. Scientific Reports, 10. https://doi.org/10.1038/s41598-020-63723-z

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