The Excitement Open Platform for Textual Inferences

نویسندگان

  • Bernardo Magnini
  • Roberto Zanoli
  • Ido Dagan
  • Kathrin Eichler
  • Günter Neumann
  • Tae-Gil Noh
  • Sebastian Padó
  • Asher Stern
  • Omer Levy
چکیده

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.

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تاریخ انتشار 2014