publication . Conference object . 2018

Mining and Leveraging Background Knowledge for Improving Named Entity Linking

Weichselbraun, Albert; Kuntschik, Philipp; Braşoveanu, Adrian M. P.;
Open Access English
  • Published: 27 Jun 2018
Abstract
Knowledge-rich Information Extraction (IE) methods aspire towards combining classical IE with background knowledge obtained from third-party resources. Linked Open Data repositories that encode billions of machine readable facts from sources such as Wikipedia play a pivotal role in this development. The recent growth of Linked Data adoption for Information Extraction tasks has shed light on many data quality issues in these data sources that seriously challenge their usefulness such as completeness, timeliness and semantic correctness. Information Extraction methods are, therefore, faced with problems such as name variance and type confusability. If multiple lin...
Subjects
free text keywords: Knowledge-rich Information Extraction, Named Entity Linking, Linked Data Quality, Information Extraction, Semantic Technologies, Natural Language Processing
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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Conference object . 2018
Provider: ZENODO
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