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Назва: Bibliometric analysis and experimental assessment of chatbot training approaches
Автори: Liashenko, Roman O.
Semerikov, Serhiy O.
Ключові слова: chatbot
natural language processing
bibliometric analysis
transfer learning
GPT-2
Дата публікації: 7-лют-2025
Видавництво: CEUR Workshop Proceedings
Бібліографічний опис: Bibliometric analysis and experimental assessment of chatbot training approaches / Roman O. Liashenko, Serhiy O. Semerikov // Proceedings of the 7th Workshop for Young Scientists in Computer Science & Software Engineering (CS&SE@SW 2024). Virtual Event, Kryvyi Rih, Ukraine, December 27, 2024 / Edited by: Serhiy O. Semerikov, Andrii M. Striuk // CEUR Workshop Proceedings. – 2025. – Vol. 3917. – P. 199-225. – Access mode : https://ceur-ws.org/Vol-3917/paper58.pdf DOI: https://doi.org/10.55056/ceur-ws.org/Vol-3917/paper58.pdf
Короткий огляд (реферат): The rapid development of natural language processing and artificial intelligence has led to growing interest in creating chatbots capable of engaging in human-like dialogue. This study conducts a bibliometric analysis of research on chatbot training to identify key concepts, trends, and promising directions. The analysis of 549 publications from the Scopus database using VOSviewer reveals four main clusters of research: natural language processing techniques, application of NLP technologies in society, use of machine learning for NLP, and chatbots in education and service sectors. To experimentally evaluate chatbot training approaches, two datasets are created from scientific publications and used to fine-tune GPT-2 language models. The results demonstrate the feasibility and effectiveness of transfer learning for adapting pre-trained models to domain-specific data. This research provides insights into the state-of-the-art in chatbot development and highlights opportunities for future work on creating specialized conversational agents.
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URI (Уніфікований ідентифікатор ресурсу): https://ceur-ws.org/Vol-3917/paper58.pdf
http://ds.knu.edu.ua/jspui/handle/123456789/9262
ISSN: 1613-0073
Розташовується у зібраннях:Кафедра професійної та соціально-гуманітарної освіти

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