The excitement open platform for textual inferences

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

*Corresponding author for this work

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

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.

Original languageEnglish
Title of host publicationACL 2014 - 52nd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Student Research Workshop
EditorsKalina Bontcheva, Ekaterina Kochmar, Jingbo Zhu, Annie Louis, Svitlana Volkova, Jordan Boyd-Graber, Bill Byrne
PublisherAssociation for Computational Linguistics (ACL)
Pages43-48
Number of pages6
ISBN (Electronic)9781937284794, 9781941643006
StatePublished - 2014
Externally publishedYes
Event52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Baltimore, MD, United States
Duration: 22 Jun 201427 Jun 2014

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
Volume2014-June
ISSN (Print)0736-587X

Conference

Conference52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
Country/TerritoryUnited States
CityBaltimore, MD
Period22/06/1427/06/14

Funding

FundersFunder number
European CommissionFP7ICT-287923

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