Труды КНЦ вып.12 (ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ вып. 5/2021(12))

Advances in Intelligent Systems and Computing / ed. R. Silhavy. - Cham: Springer International Publishing, 2020. - pp. 531-541 7. Shishaev M.G. Concept and Preliminary Testing of the Two-Stage Technology of Terminology Extraction on the Basis of Topic Modeling and Context Analysis. / Shishaev M.G., Dikovitsky V.V., Lomov P.A. // Lecture Notes in Networks and Systems, vol 228. Springer, 2021. - pp. 636-644 8. Цветков В.Я., Алпатов А. Н. Управление распределенными транспортными потоками // Государственный советник. - 2014. - №3. - с. 55-60 9. Vicentiy A.V. Automated Extraction and Visualization of Spatial Data Obtained by Analyzing Texts About Projects of Arctic Transport Logistics Development / A.V. Vicentiy, V.V. Dikovitsky, M.G. Shishaev // Intelligent Systems Applications in Software Engineering: Advances in Intelligent Systems and Computing / eds. R. Silhavy, P. Silhavy, Z. Prokopova. - Cham: Springer International Publishing, 2019. - pp. 419-433. 10.Shishaev M. Automating Implementation of Business Logic of Multi Subject- Domain IS on the Base of Machine Learning, Data Programming and Ontology- Based Generation of Labeling Functions / Shishaev M., Lomov P. // Communications in Computer and Information Science, vol 1401. Springer, - pp. 177-190 11.Al-Aswadi F.N. Automatic ontology construction from text: a review from shallow to deep learning trend / F.N. Al-Aswadi, H.Y. Chan, K.H. Gan // Artificial Intelligence Review, 2020. - Vol. 53. - № 6. - pp. 3901-3928 12.Dikovitsky V.V. Topic Clustering of Social Media Using Multilayer Text Analysis / Dikovitsky V.V., Fedorov A.M. // Advances in Intelligent Systems and Computing, vol 1294. Springer, 2020. - pp. 931-938 13.Datyev I.O. Framework for Civic Engagement Analysis Based on Open Social Media Data / I.O. Datyev, A.M. Fedorov, A.L. Shchur // Artificial Intelligence and Bioinspired Computational Methods: Advances in Intelligent Systems and Computing / ed. R. Silhavy. - Cham: Springer International Publishing, 2020. - pp. 586-597. 14.Pedrosa, J., Oliveira, D. M., Meira, W., Ribeiro, A. L. Automated classification of cardiology diagnoses based on textual medical reports In: Proceedings of the 8th Symposium on Knowledge Discovery, Mining and Learning. 2020, - pp. 185-192 15.Grishman, R.: Information Extraction. In: The Handbook of Computational Linguistics and Natural Language Processing. Ed. By Alexander Clark, Chris Fox, and Shalom Lappin. Malden, MA: Wiley-Blackwell. 2010, - pp. 515-530 16.Purves, R. S., Clough, P., Jones, C. B., Hall, M. H., Murdock, V.: Geographic Information Retrieval: Progress and Challenges in Spatial Search of Text. In: Foundations and Trends in Information Retrieval. Now Publishers Inc. Vol. 12, 2018 - p p . 164-318 17.Doddington, G.R., Mitchell, A., Przybocki, M., Ramshaw, L., Strassel, S., Weischedel, R.: The Automatic Content Extraction (ACE) Program - Tasks, Data, and Evaluation, http://www.lrec-conf.org/proceedings/lrec2004/pdf/5.pdf 18.Sun P., X. Yang, X. Zhao and Z. Wang An Overview of Named Entity Recognition / Sun P., Yang X., Zhao X., Wang Z. //, 2018 International Conference on Asian Language Processing (IALP), 2018, pp. 273-278 19.Campelo C.E.C., De Souza Baptista C. A model for geographic knowledge extraction on Web documents // Lecture Notes in Computer Science (including 43