Hi to all! If you think that our demo is pre-packaged, now you can pick a random article from Euronews to test our system. And you will discover that we do not cheat Try the demo here.
Dear all, in the last days we enhanced the typeset of Machine Linking, in order to give a more precise entity description. In addition to the classes already present in DBpedia, we added 90 new ones. In particular: AdministrativeActivity, AgriculturalDevice, AlcoholicBeverage, AnimalStructure, ArchitecturalElement, AromaticPlant, BuildingDevice, CarpenterDevice, CerealFood, Chancellery, CommunicationInfrastructure, Contraceptive, Cosmetic, Crime, CriminalOrganisation, Detergent, Discipline, […]
Finally, after hard work, we updated our entity extraction module to the new version of DBpedia, 3.9. In particular, they added some new class to the ontology (see the release page on the project website). After that, the updated resources has been integrated with Airpedia, as usual, to extend the coverage. Ee are working on […]
Hi all! After weeks of hard work we have published a new, important update of the NLP technology underlying our API. Now we are supporting topic detection, a feature that you have been asking for a while: of each entity we tag, we make an educated guess about the topics it relates to, for example […]
Today we have updated our models to new and recent versions. In particular, for each available versions of Wikipedia (among the 31 supported by Machine Linking), we have downloaded the most recent dump and extracted the models for entity extraction, text summarization, text similarity and language recognition (more than 50 languages for this task). We […]
Hi guys, I’m Claudio, CEO and cofounder of Machine Linking. I’m usually not speaking much about myself and my work but the first birthday of my “creature” is an event worth celebrating: so, let me tell you a bit more about how the project Machine Linking was born and how it evolved into the API […]