> Anyway, I don't see anything in that paper that is worth saving. It old > crap, we've been doing better for years, Rohit demonstrated that.
Well, we have actually not demonstrated better results than those Stanford guys on word sense disambiguation or unsupervised part-of-speech learning.... Maybe we can get better results than them using the stuff you and Rohit were doing, I dunno... i kinda doubt it, but that's an empirical question... > The missing next step is the dimensional reduction, and you suggest using > linear matrix algos, but I don't see why these would be better than > agglomerative clustering. They seem to be harder to control, and gut > instinct says they won't give good results. Our instincts/intuitions seem to differ here. But fortunately this is a relatively straightforward empirical question... My own experience and intuition is that agglomerative clustering is crude and works pretty badly, and I think these NN techniques can do better... But we don't need to argue about this stuff.... I mean, the beauty of this sort of work is that one has data and one can try different algorithms and see what the results are like. You've done this excellent work building the first-phase MST parses, so now we can take the data from these first-phase MST parses and apply various category-learning and disambiguation techniques to the data, and see what kind of results come out... I'm not trying to convince you to try any category-learning or disambiguation methods that don't match your intuition. You can try some methods based on your own instinct, and Ruiting and I will play with some methods based on our own instincts, and we can compare results.... If your instinct is right then Ruiting and I will have wasted a little time experimenting with inferior techniques but we will also have learned a bunch... -- Ben -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/opencog. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/CACYTDBeMS%3D%2BuGHH%2BuYRWvJ%3DRejHLbgbxjschxMgsXch2LjrKrQ%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
