@inproceedings{6f374aa74eb34a498c116226a6671165,
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.\textbackslash{}n",
author = "Bernardo Magnini and Roberto Zanoli and Ido Dagan and Kathrin Eichler and Guenter Neumann and Tae-Gil Noh and Sebastian Pado and Asher Stern and Omer Levy and Gifmmodeuelse{\"u}finter Neumann and Sebastian Padifmmodeoelse{\'o}fi",
note = "Place of conference:Baltimore, Maryland, USA; 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 ; Conference date: 22-06-2014 Through 27-06-2014",
year = "2014",
month = jun,
day = "1",
doi = "10.3115/v1/P14-5008",
language = "الإنجليزيّة",
series = "ACL Anthology",
pages = "43--48",
editor = "Kalina Bontcheva and Jingbo Zhu",
booktitle = "Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
}