The Excitement Open Platform for Textual Inferences

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

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.\n
Original languageEnglish
Title of host publicationProceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations
EditorsKalina Bontcheva, Jingbo Zhu
Place of PublicationBaltimore, Maryland
Pages43-48
Number of pages6
ISBN (Electronic)978-1-941643-00-6
DOIs
StatePublished - 1 Jun 2014
Event52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Baltimore, MD, United States
Duration: 22 Jun 201427 Jun 2014

Publication series

NameACL Anthology

Conference

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

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