The task of paraphrase acquisition from related sentences can be tackled by a variety of techniques making use of various types of knowledge. In this work, we make the hypothesis that their performance can be increased if candidate paraphrases can be validated using information that characterizes paraphrases independently of the set of techniques that proposed them. We implement this as a bi-class classification problem (. paraphrase vs. not paraphrase), allowing any paraphrase acquisition technique to be easily integrated into the combination system. .
