Log-Linear Learning in NLP Applications

log P (y | x, W) = W ∙ ((x,y) / - log ∑ y’( Y e . W ∙ ((x,y’) [substraction between a linear term and a normalization term] Examples of feature functions for POS tagging: (1 (x,y) = { (2 (x,y) = { (3 (x,y) = { It is natural to come up with as many feature functions ( pairs) as we can. ................
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