# Context-Preserving Text Simplification

arXiv: https://arxiv.org/abs/2105.11178 · HTML: https://mlsanity.com/paper/2105.11178/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 7 of its 48 references that are in the map.
- First posted on arXiv 24 May 2021.

## Builds on (most cited first, 7 of 7)

- [A Survey on Open Information Extraction](https://mlsanity.com/paper/1806.05599/) (2018)
- [A Unified Linear-Time Framework for Sentence-Level Discourse Parsing](https://mlsanity.com/paper/1905.05682/) (2019)
- [Transforming Complex Sentences into a Semantic Hierarchy](https://mlsanity.com/paper/1906.01038/) (2019)
- [Getting More Out Of Syntax with PropS](https://mlsanity.com/paper/1603.01648/) (2016)
- [DisSim: A Discourse-Aware Syntactic Text Simplification Frameworkfor English and German](https://mlsanity.com/paper/1909.12140/) (2019)
- [Controllable Sentence Simplification: Employing Syntactic and Lexical Constraints](https://mlsanity.com/paper/1910.04387/) (2019)
- [Graphene: A Context-Preserving Open Information Extraction System](https://mlsanity.com/paper/1808.09463/) (2018)

## Abstract (arXiv)

We present a context-preserving text simplification (TS) approach that recursively splits and rephrases complex English sentences into a semantic hierarchy of simplified sentences. Using a set of linguistically principled transformation patterns, input sentences are converted into a hierarchical representation in the form of core sentences and accompanying contexts that are linked via rhetorical relations. Hence, as opposed to previously proposed sentence splitting approaches, which commonly do not take into account discourse-level aspects, our TS approach preserves the semantic relationship of the decomposed constituents in the output. A comparative analysis with the annotations contained in the RST-DT shows that we are able to capture the contextual hierarchy between the split sentences with a precision of 89% and reach an average precision of 69% for the classification of the rhetorical relations that hold between them.