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Excitement Open Platform (EOP) is an open source software platform containing state-of-the-art algorithms for recognizing entailment relations between two portions of text: given two text fragments, one named text and the other named hypothesis, the task consists in recognizing whether the hypothesis can be inferred from the text. Written in Java, EOP is a main product of the EXCITEMENT project (http://www.excitement-project.eu/).

EOP's architecture is designed to be efficient and extendable. Highlights include:

• Separation between Linguistic Analysis Pipelines and Entailment Components
• Supporting modularity and interoperability among Components
• Java API with source code
• Detailed documentation to understand the structure and implementation of EOP
• Pretrained multi-lingual models (i.e. English, German, Italian)
• Trainable with new sample data

References: S. Pado, T.-G. Noh, A. Stern, R. Wang, R. Zanoli: Design and Realization of a Modular Architecture for Textual Entailment. To appear in Natural Language Engineering. Copyright Cambridge University Press, 2013.