Grading Knowledge: Extracting Degree Information from Texts

This book develops concise and comprehensive concepts for extracting degree information from natural language texts. First, an overview of the ParseTalk information extraction system is given. Then, from the review of relevant linguistic literature, the author derives two distinct categories of natural language degree expressions and proposes knowledge-intensive algorithms to handle their analyses in the ParseTalk system. Moreover, for inferencing the author generalizes from well-known constraint propagation mechanisms. The concepts and methods developed are applied to text domains from medical diagnosis and information technology magazines. The conclusion of the book gives an integration of all three levels of understanding resulting in more advanced and more efficient information extraction mechanisms.

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Grading Knowledge: Extracting Degree Information from Texts

This book develops concise and comprehensive concepts for extracting degree information from natural language texts. First, an overview of the ParseTalk information extraction system is given. Then, from the review of relevant linguistic literature, the author derives two distinct categories of natural language degree expressions and proposes knowledge-intensive algorithms to handle their analyses in the ParseTalk system. Moreover, for inferencing the author generalizes from well-known constraint propagation mechanisms. The concepts and methods developed are applied to text domains from medical diagnosis and information technology magazines. The conclusion of the book gives an integration of all three levels of understanding resulting in more advanced and more efficient information extraction mechanisms.

54.99 In Stock
Grading Knowledge: Extracting Degree Information from Texts

Grading Knowledge: Extracting Degree Information from Texts

by Steffen Staab
Grading Knowledge: Extracting Degree Information from Texts

Grading Knowledge: Extracting Degree Information from Texts

by Steffen Staab

Paperback(1999)

$54.99 
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Overview

This book develops concise and comprehensive concepts for extracting degree information from natural language texts. First, an overview of the ParseTalk information extraction system is given. Then, from the review of relevant linguistic literature, the author derives two distinct categories of natural language degree expressions and proposes knowledge-intensive algorithms to handle their analyses in the ParseTalk system. Moreover, for inferencing the author generalizes from well-known constraint propagation mechanisms. The concepts and methods developed are applied to text domains from medical diagnosis and information technology magazines. The conclusion of the book gives an integration of all three levels of understanding resulting in more advanced and more efficient information extraction mechanisms.


Product Details

ISBN-13: 9783540669340
Publisher: Springer Berlin Heidelberg
Publication date: 01/14/2000
Series: Lecture Notes in Computer Science , #1744
Edition description: 1999
Pages: 192
Product dimensions: 5.98(w) x 9.02(h) x 0.36(d)

Table of Contents

ParseTalk — The System Context.- Lexical Semantics of Degree Expressions.- Representation and Inferences.- Relative Comparisons.- Absolute Comparisons.- Integration and Conclusion.- List of Conventions.- The Entity-Relationship Model.- Auxiliary Proofs.
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