AVTOMATIK MATNLARNI UMUMLASHTIRISH USULLARI TAHLILI

S.Tuarob, S.Bhatia, P.Mitra, & C.L.Giles, AlgorithmSeer: A System for Extracting and Searching for Algorithms in Scholarly Big Data. IEEE Transactions on Big Data, 2016, 2(1), 3-17. doi: 10.1109/TBDATA.2016.2546302

A.X.Nishanov, X.B.Kenjayev, Hujjatlardan jadvallarni chiqarib olish masalasi, usullari va dasturiy ta’minotlar tahlili // Digital Transformation and Artificial Intelligence, ISSN: 3128 -8121. Vol 1, No.2. 2023

Bharti, Drsantosh & Babu, Korra, "Automatic Keyword Extraction for Text Summarization: A Survey", 8 February 2017. https://doi.org/10.48550/arXiv.1704.03242

E.S.Babajanov, Sh.N.Saidrasulov, X.B.Kenjayev. Algorithm for determining the subject area by formalizing texts in natural Uzbek language // Descendants of Muhammad al-Khwarizmi Scientific-Practical and Information-Analytical Journal. № 2 (24), june 2023. P.54-63

G.Erkan, D.R.Radev, “Lexrank: graph-based lexical centrality as salience in text summarization,” Journal of Artificial Intelligence Research, 2004, pp. 457-479.

H.Jing. Using hidden Markov modeling to decompose human-written summaries. Comput. Linguist., 2002. 28(4), 527543. doi: 10.1162/089120102762671972

Ibrahim, D. (2016). An Overview of Soft Computing. Procedia Computer Science, 102, 34-38. doi: https://doi.org/10.1016/j.procs.2016.09.366

M.Gambhir, & V.Gupta, Recent automatic text summarization techniques: a survey. Artificial Intelligence Review, 2017, 47(1), 1-66. doi: 10.1007/s10462-016-9475-9

S.Wang, X.Zhao, B.Li, B.Ge, D.Tang, Integrating Extractive and Abstractive Models for Long Text Summarization. Paper presented at the 2017 IEEE International Congress on Big Data (BigData Congress).

Wafaa S. El-Kassas, Cherif R. Salama, Ahmed A. Rafea, Hoda K. Mohamed Automatic Text Summarization: A Comprehensive Survey. Expert Systems with Applications. July 2020. 165(4):113679. DOI: 10.1016/j.eswa.2020.113679

X.B.Kenjayev ,Elektron hujjatlarda jadvallar tuzilishini tanib olish // International Journal of Education, Social Science & Humanities. Finland Academic Research Science Publishers. Vol-11. Issue-7. 2023

Zhong, Y., Tang, Z., Ding, X., Zhu, L., Le, Y., Li, K., & Li, K. An Improved LDA Multidocument Summarization Model Based on TensorFlow. Paper presented at the 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).