@inproceedings{3476e9e277e5469a87a21a444d3e80d6,
title = "圖片描述技術輔助文本於可讀性模型準確度之研究",
abstract = "{\textquotedblleft}Adaptive reading{\textquotedblright} is the process of adapting the difficulty level of a text to the ability of the reader so that the reader can understand the text more easily. However, with the large number of books being published, it is time-consuming and labor-intensive to manually assess the difficulty level, and therefore, efforts have been made to develop readability models. In the past, the development of text readability models was often characterized by text, and the content of pictures was not considered as a factor in assessing the difficulty of text. However, it has been suggested in other fields that pictures can affect reading comprehension. Inspired by this research, this study will utilize picture description techniques to extract the content of pictures as features to be added to the text readability model, in order to investigate whether the addition of picture content can improve the accuracy of the readability model.",
keywords = "English Readability Model, Image Captioning, Text Readability",
author = "Wu, \{Chieh Hsuan\} and Tseng, \{Hou Chiang\} and Chen, \{Kuan Yu\} and Berlin Chen and Sung, \{Yao Ting\}",
note = "Publisher Copyright: {\textcopyright} ROCLING 2024.All rights reserved.; 36th Conference on Computational Linguistics and Speech Processing, ROCLING 2024 ; Conference date: 04-11-2024 Through 05-11-2024",
year = "2024",
language = "繁體中文",
series = "Proceedings of the 36th Conference on Computational Linguistics and Speech Processing, ROCLING 2024",
publisher = "The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)",
pages = "184--194",
editor = "Shu-Chuan Tseng and Yu Tsao and Hen-Hsen Huang and Yao-Chung Fan and Chia-Hui Chang",
booktitle = "Proceedings of the 36th Conference on Computational Linguistics and Speech Processing, ROCLING 2024",
}