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篇名
Fine-Tuning and Evaluation of Question Generation for Slovak Language
並列篇名
Fine-Tuning and Evaluation of Question Generation for Slovak Language
英文摘要
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.
起訖頁 171-178
關鍵詞 evaluationnatural language generationneural networksquestion answeringquestion generation
刊名 ROCLING論文集  
期數 202310 (2023期)
出版單位 中華民國計算語言學學會
該期刊-上一篇 A Comparative Study of Generative Pre-trained Transformer-based Models for Chinese Slogan Generation of Crowdfunding
該期刊-下一篇 Phonotactic Constraints on Zhangzhou Onsets
 

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