Search Results for author: Matthias Cetto

Found 7 papers, 5 papers with code

Context-Preserving Text Simplification

1 code implementation24 May 2021 Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh

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

Text Simplification

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

no code implementations WS 2019 Christina Niklaus, Matthias Cetto, Andr{\'e} Freitas, H, Siegfried schuh

We introduce DisSim, a discourse-aware sentence splitting framework for English and German whose goal is to transform syntactically complex sentences into an intermediate representation that presents a simple and more regular structure which is easier to process for downstream semantic applications.

Text Simplification

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

1 code implementation26 Sep 2019 Christina Niklaus, Matthias Cetto, Andre Freitas, Siegfried Handschuh

We introduce DisSim, a discourse-aware sentence splitting framework for English and German whose goal is to transform syntactically complex sentences into an intermediate representation that presents a simple and more regular structure which is easier to process for downstream semantic applications.

Text Simplification

Transforming Complex Sentences into a Semantic Hierarchy

1 code implementation ACL 2019 Christina Niklaus, Matthias Cetto, Andre Freitas, Siegfried Handschuh

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 more regular structure that may facilitate a wide variety of artificial intelligence tasks, such as machine translation (MT) or information extraction (IE).

Machine Translation Text Simplification +1

Graphene: A Context-Preserving Open Information Extraction System

1 code implementation COLING 2018 Matthias Cetto, Christina Niklaus, André Freitas, Siegfried Handschuh

In that way, we preserve the context of the relational tuples extracted from a source sentence, generating a novel lightweight semantic representation for Open IE that enhances the expressiveness of the extracted propositions.

Open Information Extraction

Graphene: Semantically-Linked Propositions in Open Information Extraction

1 code implementation COLING 2018 Matthias Cetto, Christina Niklaus, André Freitas, Siegfried Handschuh

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, together with rhetorical relation identification.

Open Information Extraction

A Survey on Open Information Extraction

no code implementations COLING 2018 Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh

We provide a detailed overview of the various approaches that were proposed to date to solve the task of Open Information Extraction.

Open Information Extraction

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