We argue for the need for the community to address the issue of “dark entities”, those domain entities for which a knowledge base has no information in the context of the entity linking task for building Event-Centric Knowledge Graphs. Through an analysis of a large (1,2 million article) automotive newswire corpus 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

Abstract

We argue for the need for the community to address the issue of “dark entities”, those domain entities for which a knowledge base has no information in the context of the entity linking task for building Event-Centric Knowledge Graphs. Through an analysis of a large (1,2 million article) automotive newswire corpus 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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/301830
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