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Domain-adapted named-entity linker using Linked Data

Conference Paper
Publication Date:
2015
abstract:
We present REDEN, a tool for graph-based Named Entity Linking that allows for the disambiguation of entities using domain-specific Linked Data sources and different configurations (e.g. context size). It takes TEI-annotated texts as input and outputs them enriched with external references (URIs). The possibility of customizing indexes built from various knowledge sources by defining temporal and spatial extents makes REDEN particularly suited to handle domain-specific corpora such as enriched digital editions in the Digital Humanities.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
named-entity disambiguation; evaluation; linked data; digital humanities
List of contributors:
Frontini, Francesca
Authors of the University:
FRONTINI FRANCESCA
Handle:
https://iris.cnr.it/handle/20.500.14243/295464
Book title:
Proceedings of the Workshop on NLP Applications: Completing the Puzzle
Published in:
CEUR WORKSHOP PROCEEDINGS
Series
  • Overview

Overview

URL

http://ceur-ws.org/Vol-1386/named_entity.pdf
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