Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Gaziza Yelibayeva"'
Autor:
Assel Mukanova, Marek Milosz, Assem Dauletkaliyeva, Aizhan Nazyrova, Gaziza Yelibayeva, Dmitrii Kuzin, Lazzat Kussepova
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5860 (2024)
This paper describes a method and technology for processing natural language texts and extracting data from the text that correspond to the semantics of an ontological model. The proposed method is distinguished by the use of a Large Language Model a
Externí odkaz:
https://doaj.org/article/8a04960e022f4ca09d122010a200aefe
Autor:
Gulmira Bekmanova, Gaziza Yelibayeva, Banu Yergesh, Laura Orynbay, Ayaulym Sairanbekova, Zulfiya Kaderkeyeva
Publikováno v:
2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38cef3299c95e0c57f8464d9e8dd9e2d
https://doi.org/10.1109/wi-iat55865.2022.00105
https://doi.org/10.1109/wi-iat55865.2022.00105
Publikováno v:
2022 International Conference on Engineering & MIS (ICEMIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4678ced78925a80449e254d007937ba9
https://doi.org/10.1109/icemis56295.2022.9914299
https://doi.org/10.1109/icemis56295.2022.9914299
Autor:
Gaziza Yelibayeva, Bibigul Razakhova, Banu Yergesh, Altynbek Sharipbay, Gulmira Bekmanova, Assel Mukanova
Publikováno v:
2022 International Conference on Engineering & MIS (ICEMIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d89ec105ab8be210ebad0f024ebc18f7
https://doi.org/10.1109/icemis56295.2022.9914015
https://doi.org/10.1109/icemis56295.2022.9914015
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f27616408cff1069fe1309bb96eb94e1
https://doi.org/10.2139/ssrn.4310985
https://doi.org/10.2139/ssrn.4310985
Publikováno v:
Вестник Алматинского университета энергетики и связи. :230-236
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cfdcec4757cc308dc9c4408aa5f6146
https://doi.org/10.51775/1999-9801_2019_47_4_230
https://doi.org/10.51775/1999-9801_2019_47_4_230
Publikováno v:
DATA
This article provides an ontological model of nominative word combinations in the Kazakh language. It is necessary for creation of the automated templates for search of nominative word combinations of the Kazakh language in text corpora. The presente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34a63a98f606b7292cf53aaefc41cf55
https://doi.org/10.1145/3460620.3460631
https://doi.org/10.1145/3460620.3460631
Publikováno v:
2020 5th International Conference on Computer Science and Engineering (UBMK).
This paper introduces a knowledge base and a method for the automatic classification of given simple sentences of the Kazakh language based on the construction of their parse trees and ontological models. For this, the structure of each type of sente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97979e7be27d967c5611ba34dc3532d9
https://doi.org/10.1109/ubmk50275.2020.9219461
https://doi.org/10.1109/ubmk50275.2020.9219461
Autor:
Gaziza Yelibayeva, Banu Yergesh, Sharipbay Altynbek, Assel Omarbekova, Bibigul Razakhova, Assel Mukanova
Publikováno v:
DATA
This paper proposes a syntactic analysis of Kazakh simple sentences taking into account their semantics. To do this, first, the syntactic rules of sentences are described using formal grammar, then parsing trees and ontological models are built to de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96a8fc855729562ac06ab69b87d2dcbb
https://doi.org/10.1145/3368691.3368745
https://doi.org/10.1145/3368691.3368745
Autor:
Gaziza Yelibayeva, Rozamgul Nyazova, Gulmira Bekmanova, Altynbek Sharipbay, Nurgul Dyussupova, Saltanat Aubakirova
Publikováno v:
Computational Science and Its Applications – ICCSA 2019 ISBN: 9783030242886
ICCSA (1)
ICCSA (1)
In this work we described the rule-based method, using dictionary for sentiment analysis of texts in the Kazakh language related to the terrorist threats. It provides an overview of the methods for analyzing polarity, parser, which analyzes the pages
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e480b79101d77ed5a86793a89174669
https://doi.org/10.1007/978-3-030-24289-3_53
https://doi.org/10.1007/978-3-030-24289-3_53
