Summary of Health Text Simplification: An Annotated Corpus For Digestive Cancer Education and Novel Strategies For Reinforcement Learning, by Md Mushfiqur Rahman et al.
Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement Learning
by Md Mushfiqur Rahman, Mohammad Sabik Irbaz, Kai North, Michelle S. Williams, Marcos Zampieri, Kevin Lybarger
First submitted to arxiv on: 26 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper aims to develop high-performing text simplification models to improve the understandability and accessibility of health educational materials, specifically for minoritized populations. The current state of patient educational resources often surpasses widely accepted standards in terms of reading level and complexity, leading to a critical need for effective solutions. In cancer education, where prevention and screening education can significantly reduce morbidity and mortality, the importance of this issue is particularly acute. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper wants to make health information easier to understand by creating better text simplification models. Right now, many educational resources are too hard for some people to read, especially minority groups. This makes it hard for them to learn about important health issues like cancer prevention and screening. The goal is to create better models that can help make health education more accessible and understandable. |
