Publications
Talk · International Conference e-Society, e-Learning and e-Technologies · June 21, 2024
Intelligent question-answering system based on the public political discourse knowledge
Gulmira Bekmanova, Ayaulym Sairanbekova, Yerkin Ongarbayev, Assel S. Mukanova, Altanbek Zulkhazhav, Assel Omarbekova
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.
Semantic Web and OntologiesNatural Language Processing TechniquesTopic Modelingquestion answeringpublic political discourseontology (information science)
More by Altanbek Zulkhazhav
- Quantifying the Intelligibility–Expressivity Tradeoff in Emotion-Conditioned Kazakh Text-to-SpeechInternational Conference on Affective Computing and Intelligent Interaction Workshops and Demos · 2026
- Acoustic and Emotional Annotation of a Web-Harvested Kazakh Speech Corpus for Text-to-Speech2026
- Monitoring and comparative analysis of containerized environmentsFrontiers in Computer Science · 2026
- A Hybrid Attention-LSTM Model with Embedding-based Feature Representation for Student Academic Performance PredictionInternational journal of intelligent engineering and systems · 2026
