Papers by C Lee Giles
SciCap: Generating Captions for Scientific Figures (2021.findings-emnlp)
Copied to clipboard
| Challenge: | Low-quality captions are common in scientific articles and can decrease understanding . this paper aims to develop an end-to-end neural framework to generate informative, high-quality figure captions for scientific figures and charts. |
| Approach: | They propose an end-to-end neural framework to automatically generate captions for scientific figures from a large-scale dataset . they used figure-type classification, sub-figure identification, text normalization, and caption text selection to build models that caption graph plots, the dominant figure type. |
| Outcome: | The proposed model can generate high-quality captions for scientific figures and charts from a large figure-caption dataset from arXiv. |
Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies (2021.acl-long)
Copied to clipboard
| Challenge: | Existing tools to interpret privacy policies have been used to understand them but there is a lack of large privacy policy corpora to simplify the process. |
| Approach: | They propose to use a corpus of 1,005,380 English language privacy policies collected from the web to create semi-supervised and unsupervised models to interpret and simplify privacy policies. |
| Outcome: | The proposed model outperforms all other publicly available privacy policy corpora and is ten times larger than the next largest public collection of privacy policies combined. |