I'm looking to use google's word2vec implementation to build a named entity recognition system. I've heard that recursive neural nets with back propagation through structure are well suited for named entity recognition tasks, but I've been unable to find a decent implementation or a decent tutorial for that type of model. Because I'm working with an atypical corpus, standard NER tools in NLTK and similar have performed very poorly, and it looks like I'll have to train my own system.
In short, what resources are available for this kind of problem? Is there a standard recursive neural net implementation available?