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A Survey on Open Information Extraction
TLDR
We provide a detailed overview of the various approaches that were proposed to date to solve the task of Open Information Extraction. Expand
Graphene: Semantically-Linked Propositions in Open Information Extraction
TLDR
We present an Open Information Extraction (IE) approach that uses a two-layered transformation stage consisting of a clausal disembedding layer and a phrasal dis embedding layer, together with rhetorical relation identification. Expand
Transforming Complex Sentences into a Semantic Hierarchy
TLDR
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). Expand
AL: An Adaptive Learning Support System for Argumentation Skills
TLDR
We developed AL, an adaptive IT tool that provides students with feedback on the argumentation structure of a given text. Expand
Graphene: a Context-Preserving Open Information Extraction System
TLDR
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. Expand
A Sentence Simplification System for Improving Relation Extraction
TLDR
We present a text simplification framework that performs a pre-processing step by taking a single sentence as input and using a set of syntactic-based transformation rules to create a textual input that is easier to process for subsequently applied Open RE systems. Expand
A Corpus for Argumentative Writing Support in German
TLDR
We propose an annotation scheme based on annotation guidelines that allows to model claims and premises of arguments and their relations in student-written persuasive peer reviews in German language. Expand
MinWikiSplit: A Sentence Splitting Corpus with Minimal Propositions
TLDR
We compiled a new sentence splitting corpus that is composed of 203K pairs of aligned complex source and simplified target sentences. Expand
Context-Preserving Text Simplification
TLDR
We present a context-preserving text simplification (TS) approach that recursively splits and rephrases complex English sentences into a semantic hierarchy of simplified sentences. Expand
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