In this work we describe the system built for the three English subtasks of\nthe SemEval 2016 Task 3 by the Department of Computer Science of the University\nof Houston (UH) and the Pattern Recognition and Human Language Technology\n(PRHLT) research center - Universitat Polit`ecnica de Val`encia: UH-PRHLT. Our\nsystem represents instances by using both lexical and semantic-based similarity\nmeasures between text pairs. Our semantic features include the use of\ndistributed representations of words, knowledge graphs generated with the\nBabelNet multilingual semantic network, and the FrameNet lexical database.\nExperimental results outperform the random and Google search engine baselines\nin the three English subtasks. Our approach obtained the highest results of\nsubtask B compared to the other task participants.\n