Neural Versus Non-Neural Text Simplification: A Case Study
Islam Nassar, Michelle R. Ananda-Rajah, Gholamreza Haffari · Monash University Research Portal (Monash University) · 2019
We propose a modular rule-based system for Text Simplification and show that it out- performs the state-of-the-art neural-based simplification system in terms of simplic- ity. We compare the output of both systems to highlight the differences between the two approaches. Further, we present an ad- aptation of our system to handle domain- specific tasks, where we employ a hybrid approach of our rule-based system and phrase-based machine translation to sim- plify medical discharge summaries in a low-resource situation. We compile a small medical simplification dataset to evaluate our proposed solution.