First, clustering seems not to be a natural way to manage 4 The limitation to 500 data is due to computation costs since MDS requires the diagonalization of the square similarity or distance matrix. such data. Then, according to the clustering method used, several types of clusters can be expected: very small clusters which contain "satellite" data (pretty relevant) or large clusters with part of the main central class (pretty irrelevant). These results confirm the observed figures in the previous subsection and reinforce the sight that clustering is a worthless effort for automatic paraphrase corpora construction, contrarily to what<cite> (Barzilay & Lee, 2003)</cite> suggest.