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Conference Papers Year : 2015

Domain-adapted named-entity linker using Linked Data


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.


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


  • HAL Id : hal-01203356 , version 1


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⟩
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