Eaglet – a Named Entity Recognition and Entity Linking Gold Standard Checking Tool

  • Kunal Jha
  • Michael Röder
  • Axel-Cyrille Ngonga Ngomo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10577)

Abstract

The desideratum to bridge the unstructured and structured data on the web has lead to the advancement of a considerable number of annotation tools and the evaluation of these Named Entity Recognition and Entity Linking systems is incontrovertibly one of the primary tasks. However, these evaluations are mostly based on manually created gold standards. As much these gold standards have an upper hand of being created by a human, it also has room for major proportion of over-sightedness. We will demonstrate Eaglet (Available at https://github.com/AKSW/Eaglet), a tool that supports the semi-automatic checking of a gold standard based on a set of uniform annotation rules.

Keywords

Entity Recognition Entity Linking Benchmarks 

Notes

Acknowledgments

This work has been supported by the H2020 project HOBBIT (GA no. 688227) as well as the EuroStars projects DIESEL (project no. 01QE1512C) and QAMEL (project no. 01QE1549C).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Kunal Jha
    • 1
  • Michael Röder
    • 1
  • Axel-Cyrille Ngonga Ngomo
    • 1
    • 2
  1. 1.AKSW Research GroupUniversity of LeipzigLeipzigGermany
  2. 2.Data Science GroupUniversity of PaderbornPaderbornGermany

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