activity
20182023
most citedContext-Preserving Text Simplification

6 citations · 7 across the 3 of their papers we have counts for

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7 papers · 1 filter

cs.CL2023

Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions

Christina Niklaus, Matthias Cetto, André Freitas +1

Sentences that present a complex syntax act as a major stumbling block for downstream Natural Language Processing applications whose predictive quality deteriorates with sentence l…

cs.CL20216 cited

Context-Preserving Text Simplification

Christina Niklaus, Matthias Cetto, André Freitas +1

We present a context-preserving text simplification (TS) approach that recursively splits and rephrases complex English sentences into a semantic hierarchy of simplified sentences.…

cs.CL20191 cited

DisSim: A Discourse-Aware Syntactic Text Simplification Frameworkfor English and German

Christina Niklaus, Matthias Cetto, Andre Freitas +1

We introduce DisSim, a discourse-aware sentence splitting framework for English and German whose goal is to transform syntactically complex sentences into an intermediate represent…

cs.CL2019

Transforming Complex Sentences into a Semantic Hierarchy

Christina Niklaus, Matthias Cetto, Andre Freitas +1

We present an approach for recursively splitting and rephrasing complex English sentences into a novel semantic hierarchy of simplified sentences, with each of them presenting a mo…

cs.CL2018

Graphene: A Context-Preserving Open Information Extraction System

Matthias Cetto, Christina Niklaus, André Freitas +1

We introduce Graphene, an Open IE system whose goal is to generate accurate, meaningful and complete propositions that may facilitate a variety of downstream semantic applications.…

cs.CL2018

Graphene: Semantically-Linked Propositions in Open Information Extraction

Matthias Cetto, Christina Niklaus, André Freitas +1

We present an Open Information Extraction (IE) approach that uses a two-layered transformation stage consisting of a clausal disembedding layer and a phrasal disembedding layer, to…