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The EXCITEMENT Open Platform (EOP) is an open source software platform containing state-of-the-art algorithms for recognizing texual entailment relations:

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 one of the main outcomes of the project EXCITEMENT (EXploring Customer Interactions through Textual EntailMENT) which is funded by the European Commission under the European Union's Seventh Framework Programme (FP7). EOP 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
• Pre-trained models for different languages (i.e. English, German, Italian)
• Trainable with new sample data
• Detailed documentation to understand the structure and implementation of EOP
• Quick Start documentation to start using EOP immediately
• Results and configuration files archive shared among users

Reference: S. Pado, T.-G. Noh, A. Stern, R. Wang, R. Zanoli: Design and Realization of a Modular Architecture for Textual Entailment. Natural Language Engineering. Cambridge University Press, 2014.