Evaluating the Accuracy of Image Captioning Technology in Enhancing Text Readability Models
2026-03-24
·
via Paper Index on ACL Anthology
- Anthology ID:
- 2024.rocling-1.23
- Volume:
- Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024)
- Month:
- November
- Year:
- 2024
- Address:
- Taipei City, Taiwan
- Editors:
- Shu-Chuan Tseng,
Yu Tsao,
Hen-Hsen Huang,
Yao-Chung Fan,
Chia-Hui Chang
- Venue:
- ROCLING
- SIG:
- Publisher:
- The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
- Note:
- Pages:
- 184–194
- Language:
- URL:
- https://aclanthology.org/2024.rocling-1.23/
- DOI:
- Bibkey:
- Cite (ACL):
- Chieh-Hsuan Wu, Hou-Chiang Tseng, Kuan-Yu Chen, Berlin Chen, and Yao-Ting Sung. 2024. Evaluating the Accuracy of Image Captioning Technology in Enhancing Text Readability Models. In Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024), pages 184–194, Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
- Cite (Informal):
- Evaluating the Accuracy of Image Captioning Technology in Enhancing Text Readability Models (Wu et al., ROCLING 2024)
- Copy Citation:
-
- PDF:
- https://aclanthology.org/2024.rocling-1.23.pdf
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