The Excitement Open Platform for Textual Inferences

Bernardo Magnini, Roberto Zanoli, Ido Dagan, Kathrin Eichler, Günter Neumann, Tae-Gil Noh, Sebastian Pado, Asher Stern, Omer Levy

In: Proceedings of the ACL 2014 System Demonstrations. Annual Meeting of the Association for Computational Linguistics (ACL-2014) June 23-25 Baltimore Maryland United States ACL 6/2014.


This paper presents the Excitement Open Platform (EOP), a generic architecture and a comprehensive implementation for textual inference in multiple languages. The platform includes state-of-art algorithms, a large number of knowledge resources, and facilities for experimenting and testing innovative approaches. The EOP is distributed as an open source software.


EOP_Demo_ACL2014.pdf (pdf, 309 KB)

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence