I have a question about the scope_train and scope_test options that come with discriminate.pl.
Now, my impression is that scope_train defines a window around the target word from which features can be selected. And that scope_test defines a window around a test instance that indicates which words will contribute vectors to the averaged vector that represents the context (in order 2 at least). In the case of order 1, scope_test indicate a window of words in which features are identified. Is all of that accurate? If so, on to the question. What if you are using a single data file as both your test and training data. In other words, you are extracting features from the data you are clustering. What is the effect of scope_train and scope_test in that situation? Is it the same, in that scope_train defines the window in which features are extracted, and scope_test defines the window in which features are matched/represented using either the order 1 or order 2 style. For a while I was confused, and thought that scope_train would have no effect when you identified features from the data you were clustering, but I've seen results that suggest that this isn't the case. Thanks! Ted -- Ted Pedersen http://www.d.umn.edu/~tpederse ------------------------------------------------------- This SF.net email is sponsored by: IT Product Guide on ITManagersJournal Use IT products in your business? Tell us what you think of them. Give us Your Opinions, Get Free ThinkGeek Gift Certificates! Click to find out more http://productguide.itmanagersjournal.com/guidepromo.tmpl _______________________________________________ senseclusters-users mailing list [EMAIL PROTECTED] https://lists.sourceforge.net/lists/listinfo/senseclusters-users
