Search Results for author: Nicolas Heist

Found 9 papers, 3 papers with code

KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks

no code implementations21 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.

Knowledge Graphs

NASTyLinker: NIL-Aware Scalable Transformer-based Entity Linker

no code implementations8 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.

Entity Linking

Transformer-based Subject Entity Detection in Wikipedia Listings

no code implementations4 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.

Knowledge Graphs Question Answering

The CaLiGraph Ontology as a Challenge for OWL Reasoners

1 code implementation11 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.

Benchmarking Knowledge Graphs

Information Extraction From Co-Occurring Similar Entities

no code implementations10 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.

Descriptive Knowledge Graphs +2

A Knowledge Graph for Assessing Aggressive Tax Planning Strategies

1 code implementation12 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.

Entity Extraction from Wikipedia List Pages

no code implementations11 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.

Entity Extraction using GAN Knowledge Graphs

Uncovering the Semantics of Wikipedia Categories

1 code implementation28 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.

Entity Disambiguation Knowledge Graphs +2

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