CRYPTEXT: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild
January 16, 2023 ยท Declared Dead ยท ๐ IEEE International Conference on Data Engineering
"No code URL or promise found in abstract"
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Authors
Thai Le, Ye Yiran, Yifan Hu, Dongwon Lee
arXiv ID
2301.06494
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.LG,
cs.SI
Citations
8
Venue
IEEE International Conference on Data Engineering
Last Checked
3 months ago
Abstract
User-generated textual contents on the Internet are often noisy, erroneous, and not in correct forms in grammar. In fact, some online users choose to express their opinions online through carefully perturbed texts, especially in controversial topics (e.g., politics, vaccine mandate) or abusive contexts (e.g., cyberbullying, hate-speech). However, to the best of our knowledge, there is no framework that explores these online ``human-written" perturbations (as opposed to algorithm-generated perturbations). Therefore, we introduce an interactive system called CRYPTEXT. CRYPTEXT is a data-intensive application that provides the users with a database and several tools to extract and interact with human-written perturbations. Specifically, CRYPTEXT helps look up, perturb, and normalize (i.e., de-perturb) texts. CRYPTEXT also provides an interactive interface to monitor and analyze text perturbations online. A short demo video is available at: https://youtu.be/8WT3G8xjIoI
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