Hi, While training a NER model I use provide custom features by implementing *AdaptiveFeatureGenerator. *In the implementing class I compute certain features and add them. When I have another implementing class for adding features, I compute the features which sometimes are computed in the first implementing class itself. I am not aware of a mechanism where I can use the information from the first implementing class without computing them again.
So, if there is a way where I could store some information about a sentence in a global manner, I would be able to get them in all the classes I need without computing them. If there is a provision for this already, please guide me. Else, I put forth this as a suggestion/request. Thanks, Manoj.
