Model Generation for Natural Language Interpretation and Analysis / by Karsten Konrad.

Format:

Book

Author/Creator:

Konrad, Karsten, 1969- author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 2953.

Lecture Notes in Artificial Intelligence ; 2953

Language:

English

Subjects (All):

Natural language processing (Computer science).

Artificial intelligence.

Computer science.

Logic, Symbolic and mathematical.

Natural Language Processing (NLP).

Artificial Intelligence.

Computer Science, general.

Mathematical Logic and Formal Languages.

Local Subjects:

Natural Language Processing (NLP).

Artificial Intelligence.

Computer Science, general.

Mathematical Logic and Formal Languages.

Physical Description:

1 online resource (XIV, 174 pages).

Edition:

First edition 2004.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.

System Details:

text file PDF

Summary:

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.

Contents:

1 Motivation

1 Motivation

I Logics

2 Model Generation

3 Higher-Order Model Generation

4 Minimal Model Generation

II Linguistics

5 The Analysis of Definites

6 Reciprocity

7 Abduction

8 Implementation

9 Conclusion

A Some Example Problems

References and Index.

Other Format:

Printed edition:

ISBN:

978-3-540-24640-4

9783540246404

Access Restriction:

Restricted for use by site license.