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Found 9 papers, 3 papers with code
KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks
In recent years, countless research papers have addressed the topics of knowledge graph creation, extension, or completion in order to create knowledge graphs that are larger, more correct, or more diverse.
NASTyLinker: NIL-Aware Scalable Transformer-based Entity Linker
With NASTyLinker, we introduce an EL approach that is aware of NIL entities and produces corresponding mention clusters while maintaining high linking performance for known entities.
Transformer-based Subject Entity Detection in Wikipedia Listings
In tasks like question answering or text summarisation, it is essential to have background knowledge about the relevant entities.
The CaLiGraph Ontology as a Challenge for OWL Reasoners
CaLiGraph is a large-scale cross-domain knowledge graph generated from Wikipedia by exploiting the category system, list pages, and other list structures in Wikipedia, containing more than 15 million typed entities and around 10 million relation assertions.
Information Extraction From Co-Occurring Similar Entities
In this paper, we explore how information extracted from similar entities that co-occur in structures like tables or lists can help to increase the coverage of such knowledge graphs.
A Knowledge Graph for Assessing Aggressive Tax Planning Strategies
The taxation of multi-national companies is a complex field, since it is influenced by the legislation of several states.
Entity Extraction from Wikipedia List Pages
In this paper, we present a two-phased approach for the extraction of entities from Wikipedia's list pages, which have proven to serve as a valuable source of information.
Knowledge Graphs on the Web -- an Overview
Knowledge Graphs are an emerging form of knowledge representation.
Uncovering the Semantics of Wikipedia Categories
The Wikipedia category graph serves as the taxonomic backbone for large-scale knowledge graphs like YAGO or Probase, and has been used extensively for tasks like entity disambiguation or semantic similarity estimation.
