Text Simplification of Scientific Texts for Non-Expert Readers

• URL: http://arxiv.org/abs/2307.03569v1
• Date: Fri, 7 Jul 2023 13:05:11 GMT
• Title: Text Simplification of Scientific Texts for Non-Expert Readers
• Authors: Bj\"orn Engelmann, Fabian Haak, Christin Katharina Kreutz, Narjes Nikzad Khasmakhi, Philipp Schaer
• Abstract summary: Simplification of scientific abstracts helps non-experts to access the core information. This is especially relevant for, e.g., cancer patients reading about novel treatment options.
• Score: 3.4761212729163318
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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