SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings

Author:

Hsu Ting-Yao1ORCID,Huang Chieh-Yang2ORCID,Huang Shih-Hong3ORCID,Rossi Ryan4ORCID,Kim Sungchul4ORCID,Yu Tong4ORCID,Giles C Lee1ORCID,Huang Ting-Hao Kenneth2ORCID

Affiliation:

1. Computer Science and Engineering, Pennsylvania State University, United States

2. College of Information Sciences and Technology, Pennsylvania State University, United States

3. College of Information Sciences and Technology, The Pennsylvania State University, United States

4. Adobe Research, United States

Publisher

ACM

Reference52 articles.

1. Iz Beltagy, Kyle Lo, and Arman Cohan. 2019. SciBERT: A pretrained language model for scientific text. arXiv preprint arXiv:1903.10676 (2019).

2. John Bransford. 1979. Human cognition: Learning, understanding, and remembering. (No Title) (1979).

3. Yu-Ying Chang and John M Swales. 2014. Informal elements in English academic writing: threats or opportunities for advanced non-native speakers? In Writing: Texts, processes and practices. Routledge, 145–167.

4. Figure Captioning with Relation Maps for Reasoning

5. Jiwon Choi and Jaemin Jo. 2022. Intentable: A mixed-initiative system for intent-based chart captioning. In 2022 IEEE Visualization and Visual Analytics (VIS). IEEE, 40–44.

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