Contrastive Estimation

From Cohen Courses
Revision as of 15:56, 29 September 2011 by Yww (talk | contribs)
Jump to navigationJump to search

This is a method proposed by Smith and Eisner 2005:Contrastive Estimation: Training Log-Linear Models on Unlabeled Data.

The proposed approach deals with the estimation of log-linear models (e.g. Conditional Random Fields) in an unsupervised fashion.

Motivation

Problem Formulation

The Algorithm

Some Reflections

Related Papers