@inproceedings{d9528508aef24ba1987744e5beff7a89,
title = "The Excitement Open Platform for Textual Inferences",
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.\n",
author = "Bernardo Magnini and Roberto Zanoli and Ido Dagan and Kathrin Eichler and Gifmmodeuelse{\"u}finter Neumann and Tae-Gil Noh and Sebastian Padifmmodeoelse{\'o}fi and Asher Stern and Omer Levy",
note = "Place of conference:Baltimore, Maryland, USA",
year = "2014",
month = jun,
day = "1",
doi = "10.3115/v1/p14-5008",
language = "American English",
series = "ACL Anthology",
pages = "43--48",
booktitle = "The Excitement Open Platform for Textual Inferences",
}