DFKI-LT - The Excitement Open Platform for Textual Inferences

Bernardo Magnini, Roberto Zanoli, Ido Dagan, Kathrin Eichler, GŁnter Neumann, Tae-Gil Noh, Sebastian Pado, Asher Stern, Omer Levy
The Excitement Open Platform for Textual Inferences
2 Proceedings of the ACL 2014 System Demonstrations, Baltimore, Maryland, USA, 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.
 
Files: BibTeX, EOP_Demo_ACL2014.pdf