Proceedings-Artikel

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, USA, ACL, 6/2014.

Abstract

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.

Projekte

Excitement

Weitere Links

BibTeX

EOP_Demo_ACL2014.pdf