Recently, <cite>Collobert et al. (2011)</cite> proposed "deep architecture" models for sequence labeling (named Sentence-level Likelihood Neural Nets, abbreviated as SLNN henceforth), and showed promising results on a range of tasks (POS tagging, NER, Chunking, and SRL).