Before revision:  Word2vec, fastText and their combination are employed to train the neural network of the SKIP-GRAM model. Finally, the result is the low dimensional vectors of experts, called expert embeddings.
After revision:  Word2vec, fastText and their combination are employed to train the neural network of the concatenation of these two. The final result is the low dimensional vectors of experts, called expert embeddings.