no code implementations • 21 Aug 2023 • Nicolas Heist, Sven Hertling, Heiko Paulheim
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.
no code implementations • 8 Mar 2023 • Nicolas Heist, Heiko Paulheim
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.
no code implementations • 4 Oct 2022 • Nicolas Heist, Heiko Paulheim
In tasks like question answering or text summarisation, it is essential to have background knowledge about the relevant entities.
1 code implementation • 11 Oct 2021 • Nicolas Heist, Heiko Paulheim
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.
no code implementations • 10 Feb 2021 • Nicolas Heist, Heiko Paulheim
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.
1 code implementation • 12 Aug 2020 • Niklas Lüdemann, Ageda Shiba, Nikolaos Thymianis, Nicolas Heist, Christopher Ludwig, Heiko Paulheim
The taxation of multi-national companies is a complex field, since it is influenced by the legislation of several states.
no code implementations • 11 Mar 2020 • Nicolas Heist, Heiko Paulheim
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.
no code implementations • 2 Mar 2020 • Nicolas Heist, Sven Hertling, Daniel Ringler, Heiko Paulheim
Knowledge Graphs are an emerging form of knowledge representation.
1 code implementation • 28 Jun 2019 • Nicolas Heist, Heiko Paulheim
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.