Text Entailment in Semantic Web World

Abstract

Text Entailment is the concept of determining whether the message conveyed by one sentence is exactly captured by another sentence or not. There have been various approaches discovered to determine the entailment between a pair of sentences. We present a system using RDF (Resource Description Framework) approach that uses online free data available for recognizing textual entailment. There are situations where an entity name in one sentence can be different from the entity name of another sentence, but they may actually belong to each other. We develop an approach for identifying entailment between two sentences using named entity resolution with the help of RDF, verb entailment and coreference resolution. We present our results on the Recognizing Textual Entailment dataset (RTE-1 to RTE-3) and show that where our approach stands amongst the approaches already developed in this direction.