The performance of RNN with 25dimension embeddings is too low so it is omitted.
pre-trained Word Embeddings For methods that require pre-trained lexical embeddings (FCT with pre-training, SUM (Section 5), and the FCT and RNN models in Section 6) we always use embeddings 2 trained with the skip-gram model of word2vec.