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Found 7 papers, 1 papers with code
OEKG: The Open Event Knowledge Graph
Accessing and understanding contemporary and historical events of global impact such as the US elections and the Olympic Games is a major prerequisite for cross-lingual event analytics that investigate event causes, perception and consequences across country borders.
Building Multilingual Corpora for a Complex Named Entity Recognition and Classification Hierarchy using Wikipedia and DBpedia
With the ever-growing popularity of the field of NLP, the demand for datasets in low resourced-languages follows suit.
ProVe: A Pipeline for Automated Provenance Verification of Knowledge Graphs against Textual Sources
Knowledge Graphs are repositories of information that gather data from a multitude of domains and sources in the form of semantic triples, serving as a source of structured data for various crucial applications in the modern web landscape, from Wikipedia infoboxes to search engines.
Statistical and Neural Methods for Cross-lingual Entity Label Mapping in Knowledge Graphs
However, such labels are not guaranteed to match across languages from an information consistency standpoint, greatly compromising their usefulness for fields such as machine translation.
WDV: A Broad Data Verbalisation Dataset Built from Wikidata
Data verbalisation is a task of great importance in the current field of natural language processing, as there is great benefit in the transformation of our abundant structured and semi-structured data into human-readable formats.
Assessing the quality of sources in Wikidata across languages: a hybrid approach
Wikidata is one of the most important sources of structured data on the web, built by a worldwide community of volunteers.
UNER: Universal Named-Entity RecognitionFramework
We introduce the Universal Named-Entity Recognition (UNER)framework, a 4-level classification hierarchy, and the methodology that isbeing adopted to create the first multilingual UNER corpus: the SETimesparallel corpus annotated for named-entities.
