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Model Generation for Natural Language Interpretation and Analysis : Lecture Notes in Artificial Intelligence - Karsten Konrad

Model Generation for Natural Language Interpretation and Analysis

Lecture Notes in Artificial Intelligence

Paperback

Published: September 2008
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Mathematical theorem proving has undergone an impressive development during the last two decades, resulting in a variety of powerful systems for applications in mathematical deduction and knowledge processing. Natural language processing has become a topic of outstanding relevance in information technology, mainly due to the explosive growth of the Web, where by far the largest part of information is encoded in natural language documents.This monograph focuses on the development of inference tools tailored to applications in natural language processing by demonstrating how the model generation paradigm can be used as a framework for the support of specific tasks in natural language interpretation and natural language based inference in a natural way.The book appears at a pivotal moment, when much attention is being paid to the task of adding a semantic layer to the Web, and representation and processing of natural language based semantic information pops up as a primary requirement for further technological progress.

Motivationp. 1
Model generationp. 9
Higher-order model generationp. 25
Minimal model generationp. 55
The analysis of definitesp. 59
Reciprocityp. 79
Abductionp. 105
Implementationp. 125
Conclusionp. 149
A: Some example problemsp. 155
Referencesp. 159
Indexp. 165
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540210696
ISBN-10: 3540210695
Series: Lecture Notes in Artificial Intelligence
Audience: Professional
Format: Paperback
Language: English
Number Of Pages: 174
Published: September 2008
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.5 x 15.5  x 1.02
Weight (kg): 0.6