The demonstration at https://jde-predict.tools.eurecom.fr/ enables to submit any article from the JDE and to visualize a number of annotations on this article namely:
- a prediction of the Business Events relevant for the given article (among 11 possible classes); 4 different algorithms are providing predictions together with a score.
- a list of named entities extracted in the given article; 3 NER tools are used (spaCy, Flair, and a pre-trained CamemBERT model) and the final results include majority voting and other post-processing.
- a prediction of the general themes (among 10 possible classes)
The goal is to materialize these annotations in a KG. The tasks are:
The demonstration at https://jde-predict.tools.eurecom.fr/ enables to submit any article from the JDE and to visualize a number of annotations on this article namely:
The goal is to materialize these annotations in a KG. The tasks are:
skos:Conceptin a dedicated ConceptScheme. Similarly, the Themes could also be represented asskos:Conceptin another ConceptScheme. Named Entity annotations could re-use the NIF ontology.