Text Simplification of Scientific Texts for Non-Expert Readers
Engelmann, Björn, Haak, Fabian, Kreutz, Christin Katharina, Khasmakhi, Narjes Nikzad, Schaer, Philipp
–arXiv.org Artificial Intelligence
Reading levels are highly individual and can depend on a text's language, a person's cognitive abilities, or knowledge on a topic. Text simplification is the task of rephrasing a text to better cater to the abilities of a specific target reader group. Simplification of scientific abstracts helps non-experts to access the core information by bypassing formulations that require domain or expert knowledge. This is especially relevant for, e.g., cancer patients reading about novel treatment options. The SimpleText lab hosts the simplification of scientific abstracts for non-experts (Task 3) to advance this field. We contribute three runs employing out-of-the-box summarization models (two based on T5, one based on PEGASUS) and one run using ChatGPT with complex phrase identification.
arXiv.org Artificial Intelligence
Jul-7-2023
- Country:
- Europe
- United Kingdom > Scotland
- City of Aberdeen > Aberdeen (0.04)
- Netherlands > North Holland
- Amsterdam (0.04)
- Greece > Central Macedonia
- Thessaloniki (0.04)
- Germany > North Rhine-Westphalia
- Cologne Region > Cologne (0.04)
- United Kingdom > Scotland
- Europe
- Genre:
- Research Report (0.40)
- Industry:
- Health & Medicine > Therapeutic Area > Oncology (0.55)
- Technology: