Towards Extensible Textual Entailment Engines: The EDITS Package

  • Authors:
  • Matteo Negri;Milen Kouylekov;Bernardo Magnini;Yashar Mehdad;Elena Cabrio

  • Affiliations:
  • FBK-Irst, Trento, Italy;FBK-Irst, Trento, Italy;FBK-Irst, Trento, Italy;FBK-Irst, Trento, Italy and University of Trento, Italy;FBK-Irst, Trento, Italy and University of Trento, Italy

  • Venue:
  • AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
  • Year:
  • 2009

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Abstract

This paper presents the first release of EDITS, an open-source software package for recognizing Textual Entailment developed by FBK-irst. The main contributions of EDITS consist in: i) providing a basic framework for a distance-based approach to the task, ii) providing a highly customizable environment to experiment with different algorithms, iii) allowing for easy extensions and integrations with new algorithms and resources. System's main features are described, together with experiments over different datasets showing its potential in terms of tuning and adaptation capabilities.