publication . Other literature type . Conference object . 2018

Framing Named Entity Linking Error Types

Braşoveanu, A. M. P.; GIUSEPPE RIZZO; Kuntschik, P.; Weichselbraun, A.; Nixon, L. J. B.;
Open Access English
  • Published: 09 May 2018
  • Publisher: Zenodo
Abstract
Named Entity Linking (NEL) and relation extraction forms the backbone of Knowledge Base Population tasks. The recent rise of large open source Knowledge Bases and the continuous focus on improving NEL performance has led to the creation of automated benchmark solutions during the last decade. The benchmarking of NEL systems offers a valuable approach to understand a NEL system’s performance quantitatively. However, an in-depth qualitative analysis that helps improving NEL methods by identifying error causes usually requires a more thorough error analysis. This paper proposes a taxonomy to frame common errors and applies this taxonomy in a survey study to assess ...
Subjects
free text keywords: Named Entity Linking, Linked Data Quality, Corpora, Evaluation, Error Analysis
Funded by
EC| InVID
Project
InVID
In Video Veritas – Verification of Social Media Video Content for the News Industry
  • Funder: European Commission (EC)
  • Project Code: 687786
  • Funding stream: H2020 | IA
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Zenodo
Other literature type . 2018
Provider: Datacite
Zenodo
Other literature type . 2018
Provider: Datacite
ZENODO
Conference object . 2018
Provider: ZENODO
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