One of pitfalls is that these features are so sparse that many features which are potentially useful for a test set may not be included in a given tuning set, and many useless features for testing will be over tuned on the developement set meanwhile.
the generalization abilities of features are limited due to the mismatch between the testing data and the tuning data, and over-fitting occurs.