The performance of the CNN model improves if POS vectors are considered together with GloVe word vectors in input, both when such POS vectors are randomly initialized ( w i p r ) and independently trained with the GloVe model ( w i p i ).
the best performance is achieved when word and POS tags vectors are jointly trained with our attr2vec model ( w j p j ).