Hypothesis transformation and semantic variability rules used in recognizing textual entailment

  • Authors:
  • Adrian Iftene;Alexandra Balahur-Dobrescu

  • Affiliations:
  • "A1. I. Cuza" University, Iasi, Romania;"A1. I. Cuza" University, Iasi, Romania

  • Venue:
  • RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
  • Year:
  • 2007

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Abstract

Based on the core approach of the tree edit distance algorithm, the system central module is designed to target the scope of TE -- semantic variability. The main idea is to transform the hypothesis making use of extensive semantic knowledge from sources like DIRT, WordNet, Wikipedia, acronyms database. Additionally, we built a system to acquire the extra background knowledge needed and applied complex grammar rules for rephrasing in English.