Up: UPV-SI: Word Sense Induction
We have reported the performance of a single approach based on self term expansion. The technique uses the pointwise mutual information for calculating a set of co-ocurrence terms which then are used to expand the original dataset. Once the expansion has been done, the unsupervised KStar clustering method was used to induce the sense for the different ocurrences of each ambiguous word. We obtained the third place in the two measures proposed in the task. We will further investigate whether an improvement may be obtained by applying term selection methods to the expanded corpus.