The Excitement Open Platform For Textual Inferences

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

PROCEEDINGS OF 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: SYSTEM DEMONSTRATIONS（2014）

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摘要

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.

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