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A Linguistic Inspection of Textual Entailment

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 3673)

Abstract

Recognition of textual entailment is not an easy task. In fact, early experimental evidences in [1] seems to demonstrate that even human judges often fail in reaching an agreement on the existence of entailment relation between two expressions. We aim to contribute to the theoretical and practical setting of textual entailment, through both a linguistic inspection of the textual entailment phenomenon and the description of a new promising approach to recognition, as implemented in the system we proposed at the RTE competition [2].

Keywords

  • Semantic Similarity
  • Graph Match
  • Question Answering
  • Graph Isomorphism
  • Entailment Relation

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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© 2005 Springer-Verlag Berlin Heidelberg

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Pazienza, M.T., Pennacchiotti, M., Zanzotto, F.M. (2005). A Linguistic Inspection of Textual Entailment. In: Bandini, S., Manzoni, S. (eds) AI*IA 2005: Advances in Artificial Intelligence. AI*IA 2005. Lecture Notes in Computer Science(), vol 3673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558590_32

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  • DOI: https://doi.org/10.1007/11558590_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29041-4

  • Online ISBN: 978-3-540-31733-3

  • eBook Packages: Computer ScienceComputer Science (R0)