@inproceedings{d2144f3cff1c47b59dbbecf7929e745f,
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.",
author = "Bernardo Magnini and Roberto Zanoli and Ido Dagan and Kathrin Eichler and G{\"u}nter Neumann and Noh, \{Tae Gil\} and Sebastian Pado and Asher Stern and Omer Levy",
note = "Publisher Copyright: {\textcopyright} 2014 Association for Computational Linguistics.; 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 ; Conference date: 22-06-2014 Through 27-06-2014",
year = "2014",
language = "الإنجليزيّة",
series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",
pages = "43--48",
editor = "Kalina Bontcheva and Ekaterina Kochmar and Jingbo Zhu and Annie Louis and Svitlana Volkova and Jordan Boyd-Graber and Bill Byrne",
booktitle = "ACL 2014 - 52nd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Student Research Workshop",
address = "الولايات المتّحدة",
}