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.

• Type: Journal
• Year: 2015
• Where: NLDB
• Authors: Francesca Frontini, Carmen Brando, Jean-Gabriel Ganascia
• Keywords: Natural Language Processing, NLDB 2015