Interesting! Nice work. I have also worked on this problem (not exactly same though!), so I want to ask few things. The only description you have given is about the features you have used. These features are very well established, and are being used almost since the inception of this field(like 60's and all). I would suggest using advanced features like HITS score etc. What are the base techniques you have compared against. Some recent work like shen et al.(Automatic document summarization using CRF) has used CRF based methods. Is your method based on bag of words or has markovian structure? Also how do you decide how many sentences to select, explain little bit about sentence ranking technique and also explain little about evaluation techniques. Without these explanation it is very difficult to make any constructive comment. Also may want to talk about training process (if supervised) and scaling issues! We can also talk offline if you wish to :) . -Rahul