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Bootstrapping Steven Abney
 

Summary: Bootstrapping
Steven Abney
AT&T Laboratories Research
180 Park Avenue
Florham Park, NJ, USA, 07932
Abstract
This paper refines the analysis of co-
training, defines and evaluates a new
co-training algorithm that has theo-
retical justification, gives a theoreti-
cal justification for the Yarowsky algo-
rithm, and shows that co-training and
the Yarowsky algorithm are based on
different independence assumptions.
1 Overview
The term bootstrapping here refers to a prob-
lem setting in which one is given a small set of
labeled data and a large set of unlabeled data,
and the task is to induce a classifier. The plen-
itude of unlabeled natural language data, and

  

Source: Abney, Steven P. - School of Information, University of Michigan

 

Collections: Computer Technologies and Information Sciences