ConceptNet is a freely available commonsense knowledgebase and natural-language-processing toolkit which supports many practical textual-reasoning tasks over real-world documents right out-of-the-box (without additional statistical training) including
"End User Examples" shows examples of where Calais has been integrated into end-user tools and web sites. 2) "Submitting Content to Calais" focuses on application / tools that help you get your content to the Calais service, 3) "Capability Demonstrations"
The Calais web service automatically attaches rich semantic metadata to the content you submit. Using natural language processing, machine learning and other methods, Calais categorizes and links your document with entities (people, places, organizations,
P. Kolyvakis, A. Kalousis, and D. Kiritsis. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), page 787--798. New Orleans, Louisiana, Association for Computational Linguistics, (June 2018)