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Intelligent question-answering system based on the public political discourse knowledge

Published: 03 December 2024 Publication History

Abstract

The article describes the implementation of a question-answering system based on knowledge of public political discourse. An ontology of the subject area was developed, a program was developed to publish an answer to a question on the topic of political discourse in the Kazakh language.

References

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F. Sumam, M. Marie-Francine. Investigating better context representations for generative question answering. Information Retrieval Journal. 2023. Vol.26, Issue 1-2. Article number 7. ISSN 13864564. DOI 10.1007/s10791-023-09420-7.
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Lin, Tzu-Hsuan, Yu-Hua Huang, and Alan Putranto. "Intelligent question and answer system for building information modeling and artificial intelligence of things based on the bidirectional encoder representations from transformers model." Automation in Construction 142 (2022): 104483.
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Yogish, Deepa, T. N. Manjunath, and Ravindra S. Hegadi. "Survey on trends and methods of an intelligent answering system." 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT). IEEE, 2017.
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Sairanbekova, A., Orynbay, L., Ukenova, A., Sharipbay, A., & Razakhova, B. (2023). Database Creation of Political Discourse in The Kazakh Language, The XI International Conference on Computer Processing of Turkic Languages “TurkLang 2023”, Bukhara, Uzbekistan (to be published).
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E. Jajaga, L. Ahmedi. C-SWRL: A Unique Semantic Web Framework for Reasoning over Stream Data. International Journal of Semantic Computing. Vol. 11, Выпуск 3, pp. 391 – 409. 2017. DOI 10.1142/S1793351X17400165] [E. Jajaga, L. Ahmedi. C-SWRL: SWRL for Reasoning over Stream Data. ICSC 2017. Pp. 395 – 400. DOI 10.1109/ICSC.2017.64

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ICSLT '24: Proceedings of the 2024 10th International Conference on e-Society, e-Learning and e-Technologies (ICSLT)
June 2024
131 pages
ISBN:9798400716799
DOI:10.1145/3678610
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 December 2024

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Author Tags

  1. Artificial intelligence
  2. discourse
  3. formalization, python, owlready, sparql, OWL
  4. knowledge base
  5. ontology

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  • Research-article

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  • The Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan

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ICSLT 2024

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