• Publications
  • Influence
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
TLDR
We present our claim verification pipeline approach, which, according to the preliminary results, scored third in the shared task, out of 23 competing systems. Expand
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A Retrospective Analysis of the Fake News Challenge Stance Detection Task
TLDR
The 2017 Fake News Challenge Stage 1 (FNC-1) shared task addressed a stance classification task as a crucial first step towards detecting fake news. Expand
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Cross-topic Argument Mining from Heterogeneous Sources
TLDR
In this paper, we propose a new sentential annotation scheme that is reliably applicable by crowd workers to arbitrary Web texts that are annotated with topic-based arguments. Expand
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ArgumenText: Searching for Arguments in Heterogeneous Sources
TLDR
We present ArgumenText, which we believe is the first system for topic-relevant argument search in heterogeneous texts. Expand
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Classification and Clustering of Arguments with Contextualized Word Embeddings
TLDR
We show how to leverage the power of contextualized word embeddings to classify and cluster topic-dependent arguments, achieving impressive results on both tasks and across multiple datasets. Expand
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GTNA: a framework for the graph-theoretic network analysis
TLDR
We introduce the Graph-Theoretic Network Analyzer (GTNA), an efficient, Java-based toolkit for the comprehensive analysis of complex network graphs. Expand
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Compile- and run-time approaches for the selection of efficient data structures for dynamic graph analysis
TLDR
Graphs are used to model a wide range of systems from different disciplines including social network analysis, biology, and big data processing. Expand
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Native support of multi-tenancy in RDBMS for software as a service
TLDR
Software as a Service (SaaS) facilitates acquiring a huge number of small tenants by providing low service fees. Expand
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Measuring Freenet in the Wild: Censorship-Resilience under Observation
TLDR
We performed an extensive measurement study accompanied by a code analysis to identify bottlenecks of the existing algorithms and obtained a realistic user model for the improvement and evaluation of new algorithms. Expand
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Content Virality on Online Social Networks: Empirical Evidence from Twitter, Facebook, and Google+ on German News Websites
TLDR
The virality of content describes its likelihood to be shared with peers. Expand
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