Much later, with the advent of neural word embeddings,<cite> Collobert et al. (2011b)</cite> presented SENNA, which employs a deep FFNN and word embeddings to achieve near state of the art results on POS tagging, chunking, NER, and SRL. We build on their approach, sharing the word embeddings, feature encoding method, and objective functions.