We argue for the need for the community to address the issue of “darkentities”, those domain entities for which a knowledge base has no informationin the context of the entity linking task for building Event-Centric KnowledgeGraphs. Through an analysis of a large (1,2 million article) automotive newswirecorpus against DBpedia, we identify six classes of errors that lead to dark entities.Finally, we outline further steps that can be taken for tackling this issue.

Missing Mr. Brown and buying an Abraham Lincoln -- Dark Entities and DBpedia

Rospocher Marco;
2015-01-01

Abstract

We argue for the need for the community to address the issue of “darkentities”, those domain entities for which a knowledge base has no informationin the context of the entity linking task for building Event-Centric KnowledgeGraphs. Through an analysis of a large (1,2 million article) automotive newswirecorpus against DBpedia, we identify six classes of errors that lead to dark entities.Finally, we outline further steps that can be taken for tackling this issue.
2015
linked data, entity linking, NLP
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/990149
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