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The Framework

Timothy J. O’Donnell and Noah D. Goodman

in Productivity and Reuse In Language: A Theory of Linguistic Computation and Storage

Published in print:
2015
Published Online:
May 2016
ISBN:
9780262028844
eISBN:
9780262326803
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262028844.003.0002
Subject:
Linguistics, Sociolinguistics / Anthropological Linguistics

This chapter consists of four parts. The first section discusses the ideas behind the modeling framework adopted in the book---structured probabilistic generative models. The second section discusses ... More


Formalization of the Models and Inference

Timothy J. O’Donnell and Noah D. Goodman

in Productivity and Reuse In Language: A Theory of Linguistic Computation and Storage

Published in print:
2015
Published Online:
May 2016
ISBN:
9780262028844
eISBN:
9780262326803
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262028844.003.0003
Subject:
Linguistics, Sociolinguistics / Anthropological Linguistics

This chapter the mathematical details of the models studied in this book. It also discusses the inference algorithms used for each of the models and various other issues of practical concern for the ... More


Probabilistic Semi-Supervised Clustering with Constraints

Basu Sugato, Bilenko Mikhail, Banerjee Arindam, and Mooney Raymond

in Semi-Supervised Learning

Published in print:
2006
Published Online:
August 2013
ISBN:
9780262033589
eISBN:
9780262255899
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262033589.003.0005
Subject:
Computer Science, Machine Learning

This chapter discusses a problem resulting from certain clustering tasks from which limited supervision is obtained in the form of pairwise constraints—semi-supervised clustering. Semi-supervised ... More


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