The Excitement Open Platform for Textual Inferences

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.\n
Original languageAmerican English
Title of host publicationThe Excitement Open Platform for Textual Inferences
Number of pages6
StatePublished - 1 Jun 2014

Publication series

NameACL Anthology

Bibliographical note

Place of conference:Baltimore, Maryland, USA


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