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Table of Contents
Introduction
Article is about parallel sentence extraction from Wikipedia. This resource can be viewed as comparable corpus in which the document alignment is already provided by the interwiki links.
Training models
Authors train three models:
- binary classifier model;
- ranking model;
- Conditional Random Field (CRF) model
When the binary classifier is used, there is a substantial class imbalance: O(n) positive examples and O(n²) negative examples.
The ranking model selects either a sentence in the target document or 'null' for each sentence target in the source document. This way there is no problem of class imbalance issue of the binary classifier.
A conditional random field is a type of discriminative undirected probabilistic graphical model. It is most often used for labeling or parsing of sequential data, such as natural language text.