This paper proposes a graph based methodology for automatically disambiguating authors'
mentions in a corpus of French literary criticism. Candidate referents are identified and …

This paper proposes a graph-based Named Entity Linking (NEL) algorithm named REDEN
for the disambiguation of authors' names in French literary criticism texts and scientific …

This paper proposes a graph-based algorithm baptized REDEN for the disambiguation of
authors' names in French literary criticism texts and scientific essays from the 19th century. It …

Natural Language is a mean to express and discuss about concepts, objects, events, ie, it
carries semantic contents. One of the ultimate aims of Natural Language Processing …

Natural Language is a mean to express and discuss about concepts, objects, events, ie it
carries semantic contents. The SemanticWeb aims at tightly coupling contents with their …

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 …

Disambiguating named entities in natural language texts maps ambiguous names to
canonical entities registered in a knowledge base such as DBpedia, Freebase, or YAGO …

This paper presents an attempt to provide a generic named-entity recognition and
disambiguation module (NERD) called entity-fishing as a stable online service that …

We present a joint system for named entity recognition (NER) and entity linking (EL),
allowing for named entities mentions extracted from textual data to be matched to uniquely …

We present AIDA, a framework and online tool for entity detection and disambiguation.
Given a natural-language text or a Web table, we map mentions of ambiguous names onto …