Help regarding NER in NLTK I have been working in NLTK for a while using Python. The problem I am facing is that their is no help available on training NER in NLTK with my custom data. They have used MaxEnt and trained it on ACE corpus. I have searched on the web a lot but I could not find any way that can be used to train NLTK's NER. 

If anyone can provide me with any link/article/blog etc which can direct me to Training Datasets Format used in training NLTK's NER so I can prepare my Datasets on that particular format. And if I am directed to any link/article/blog etc which can help me TRAIN NLTK's NER for my own data.

This is a question widely searched and least answered. Might be helpful for someone in the future whose working with NER.
Training a model, related to information extraction, in general, and named entity recognition/resolution (NER), in particular, is described in detail in Chapter 7 of the NLTK Book, available online at this URL: http://www.nltk.org/book/ch07.html.

Additionally, I think that you might find useful my related answer on Cross Validated site. It has a lot of references to relevant sources on NER and related topics as well as to various related software tools.