Recognizing textual entailment using sentence similarity based on dependency tree skeletons
Rui Wang, Günter Neumann · 2007
We present a novel approach to RTE that exploits a structure-oriented sentence representation followed by a similarity function.The structural features are automatically acquired from tree skeletons that are extracted and generalized from dependency trees.Our method makes use of a limited size of training data without any external knowledge bases (e.g.WordNet) or handcrafted inference rules.We have achieved an accuracy of 71.1% on the RTE-3 development set performing a 10-fold cross validation and 66.9% on the RTE-3 test data.