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Alexander Löser
Researcher at Beuth University of Applied Sciences Berlin
Publications - 72
Citations - 1908
Alexander Löser is an academic researcher from Beuth University of Applied Sciences Berlin. The author has contributed to research in topics: Information extraction & Web query classification. The author has an hindex of 19, co-authored 72 publications receiving 1703 citations. Previous affiliations of Alexander Löser include Charité & Technical University of Berlin.
Papers
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Proceedings ArticleDOI
Super-peer-based routing and clustering strategies for RDF-based peer-to-peer networks
Wolfgang Nejdl,Martin Wolpers,Wolf Siberski,Christoph Schmitz,Mario T. Schlosser,Ingo Brunkhorst,Alexander Löser +6 more
TL;DR: These RDF-based P2P networks are able to support sophisticated routing and clustering strategies based on the metadata schemas, attributes and ontologies used, and the use of super-peer based topologies for these networks is described.
Journal Article
Semantic overlay clusters within super-peer networks
TL;DR: In this article, the concept of semantic overlay clusters (SOC) is introduced for super-peer networks enabling a controlled distribution of peers to clusters, based on predefined policies defined by human experts.
Proceedings ArticleDOI
Challenges for Toxic Comment Classification: An In-Depth Error Analysis
TL;DR: An ensemble that outperforms all individual models in toxic comment classification is proposed and an extensive error analysis is performed, which reveals open challenges for state-of-the-art methods and directions towards pending future research.
Proceedings ArticleDOI
How Does BERT Answer Questions?: A Layer-Wise Analysis of Transformer Representations
TL;DR: A layer-wise analysis of BERT's hidden states reveals that fine-tuning has little impact on the models' semantic abilities and that prediction errors can be recognized in the vector representations of even early layers.
Book ChapterDOI
Pricing Approaches for Data Markets
TL;DR: Insight is presented from interviews with seven established vendors about their key challenges with regard to pricing strategies in different market situations and associated research problems for the business intelligence community.