Sammendrag
In this paper we present our participation in the Semeval 2014 task “Evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment”. Our results demonstrate that using generic tools for semantic analysis is a viable option for a system that recognizes textual entailment. The invested effort in developing such tools allows us to build systems for reasoning that do not require training.
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 2014, Pages 699-703.