@inproceedings{280980a03cb54f25961f022366a5d423,
title = "Fine-Tuning and Evaluation of Question Generation for Slovak Language",
abstract = "Automatic generation of questions about the given context is useful for the adaptation of question-answering systems or to support education. We trained and evaluated a model that generates a question in the Slovak language. We have designed an automatic metric where an additional question-answering model is used to evaluate the generated questions. We calculated how many questions have confidence greater than the given threshold. For generating questions, we used contexts from the Slovak question-answering dataset. The fine-tuned Slovak T5 model did generate 38\% of the questions that the evaluation model could answer with confidence greater than 50\%. We cooperated with partners from Taiwan during these experiments in the frame of a bilateral project and we plan to transfer the knowledge to the Chinese language later.",
keywords = "evaluation, natural language generation, neural networks, question answering, question generation",
author = "Ondrej Megela and Daniel Hl{\'a}dek and Mat{\'u}{\v s} Pleva and J{\'a}n Sta{\v s} and Su, \{Ming Hsiang\} and Liao, \{Yuan Fu\}",
note = "Publisher Copyright: {\textcopyright} 2023 ROCLING 2023 - Proceedings of the 35th Conference on Computational Linguistics and Speech Processing. All rights reserved.; 35th Conference on Computational Linguistics and Speech Processing, ROCLING 2023 ; Conference date: 20-10-2023 Through 21-10-2023",
year = "2023",
language = "English",
series = "ROCLING 2023 - Proceedings of the 35th Conference on Computational Linguistics and Speech Processing",
publisher = "The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)",
pages = "171--178",
editor = "Jheng-Long Wu and Ming-Hsiang Su and Hen-Hsen Huang and Yu Tsao and Hou-Chiang Tseng and Chia-Hui Chang and Lung-Hao Lee and Yuan-Fu Liao and Wei-Yun Ma",
booktitle = "ROCLING 2023 - Proceedings of the 35th Conference on Computational Linguistics and Speech Processing",
}