Domain-adapted named-entity linker using Linked Data - Archive ouverte HAL Access content directly
Conference Papers Year : 2015

Domain-adapted named-entity linker using Linked Data

Abstract

We present REDEN, a tool for graph-based Named Entity Linking that allows for the disambiguation of entities using domainspecific 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.

Domains

Linguistics
Fichier principal
Vignette du fichier
named_entity.pdf (295.91 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01203356 , version 1 (22-09-2015)

Identifiers

  • HAL Id : hal-01203356 , version 1

Cite

Francesca Frontini, Carmen Brando, Jean-Gabriel Ganascia. Domain-adapted named-entity linker using Linked Data. Workshop on NLP Applications: Completing the Puzzle co-located with the 20th International Conference on Applications of Natural Language to Information Systems (NLDB 2015), Jun 2015, Passau, Germany. ⟨hal-01203356⟩
203 View
148 Download

Share

Gmail Facebook X LinkedIn More