Stochastic Attribute-Value Grammars
by Rob Malouf, Miles Osborne
Publisher: ESSLLI 2001
Number of pages: 159
Description:
This one-week course will provide an introduction to the maximum entropy principle and the construction of maximum entropy models for natural language processing. Through a combination of lectures and, as local computing facilities permit, hands-on lab exercises, students will investigate the implementation of maximum entropy models for attribute-value grammars, including such topics as ambiguity identification, feature selection, and model training and evaluation.
Download or read it online for free here:
Download link
(1.8MB, PDF)
Similar books
Natural Language Processing for Prolog Programmers
by Michael A. Covington - Prentice-Hall
Designed to bridge the gap for those who know Prolog but have no background in linguistics, this book concentrates on turning theories into practical techniques. Coverage includes template and keyword systems, definite clause grammars, and more.
(10817 views)
by Michael A. Covington - Prentice-Hall
Designed to bridge the gap for those who know Prolog but have no background in linguistics, this book concentrates on turning theories into practical techniques. Coverage includes template and keyword systems, definite clause grammars, and more.
(10817 views)
Natural Language Processing Succinctly
by Joseph D. Booth - Syncfusion, Inc.
Author will guide readers through designing a simple system that can interpret and provide reasonable responses to written English text. With this foundation, readers will be prepared to tackle the greater challenges of natural language development.
(5856 views)
by Joseph D. Booth - Syncfusion, Inc.
Author will guide readers through designing a simple system that can interpret and provide reasonable responses to written English text. With this foundation, readers will be prepared to tackle the greater challenges of natural language development.
(5856 views)
Formal Language Theory for Natural Language Processing
by Shuly Wintner - ESSLLI
This text is a mild introduction to Formal Language Theory for students with little or no background in formal systems. The motivation is Natural Language Processing, and the presentation is geared towards NLP applications, with extensive examples.
(10759 views)
by Shuly Wintner - ESSLLI
This text is a mild introduction to Formal Language Theory for students with little or no background in formal systems. The motivation is Natural Language Processing, and the presentation is geared towards NLP applications, with extensive examples.
(10759 views)
Natural Language Processing with Python
by Steven Bird, Ewan Klein, Edward Loper - O'Reilly Media
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies. With it, you'll learn how to write Python programs that work with large collections of unstructured text.
(16825 views)
by Steven Bird, Ewan Klein, Edward Loper - O'Reilly Media
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies. With it, you'll learn how to write Python programs that work with large collections of unstructured text.
(16825 views)