InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification

1 code implementation • 29 Jan 2024 • Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li

Text simplification aims to make technical texts more accessible to laypeople but often results in deletion of information and vagueness.

Natural Language Inference Text Simplification

Multilingual Simplification of Medical Texts

1 code implementation • 21 May 2023 • Sebastian Joseph, Kathryn Kazanas, Keziah Reina, Vishnesh J. Ramanathan, Wei Xu, Byron C. Wallace, Junyi Jessy Li

This work addresses this limitation via multilingual simplification, i. e., directly simplifying complex texts into simplified texts in multiple languages.

Sentence Text Simplification

Summarizing, Simplifying, and Synthesizing Medical Evidence Using GPT-3 (with Varying Success)

1 code implementation • 10 May 2023 • Chantal Shaib, Millicent L. Li, Sebastian Joseph, Iain J. Marshall, Junyi Jessy Li, Byron C. Wallace

Large language models, particularly GPT-3, are able to produce high quality summaries of general domain news articles in few- and zero-shot settings.