Селекторлар

This paper presents a method of acquiring knowledge from the Web for noun sense disambiguation. Words, called selectors, are acquired which take the place of an instance of a target …...

This paper introduces a method to improve supervised word sense disambiguation perfor- mance by including a new class of features which leverage contextual information from large unannotated corpora. This new …...

We present the Penn system for SemEval- 2012 Task 6, computing the degree of seman- tic equivalence between two sentences. We explore the contributions of different vector models for computing …...