Hypothesis transformation and semantic variability rules used in recognizing textual entailment

Abstract

Based on the core approach of the tree edit distance algorithm, the system central module is designed to target the scope of TEsemantic 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.