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- W2140734772 abstract "This is yet another introduction to log-linear (“maximum entropy”) models for NLP practitioners, in the spirit of Berger (1996) and Ratnaparkhi (1997b). The derivations here are similar to Berger’s, but more details are filled in and some errors are corrected. I do not address iterative scaling (Darroch and Ratcli, 1972), but rather give derivations of the gradient and Hessian of the dual objective function (conditional likelihood). Note: This is a draft; please contact the author if you have comments, and do not cite or circulate this document." @default.
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- W2140734772 date "2004-01-01" @default.
- W2140734772 modified "2023-09-23" @default.
- W2140734772 title "Log-Linear Models" @default.
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