The document summarizes a distributed architecture system for recognizing textual entailment. The system uses a peer-to-peer network with caching mechanisms to improve speed. It transforms text and hypotheses into dependency trees using tools like LingPipe and MINIPAR. Resources like DIRT, WordNet, Wikipedia and an acronym database are used to calculate the fitness between text and hypothesis for determining entailment. The system achieved third place in the 2007 RTE competition with an accuracy of 69.13%.