ENGLISH

Model Generation for Natural Language Interpretation and Analysis

By Karsten Konrad (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2004
ISBN
3540210695, 9783540210696
DOI
10.1007/b95744
Open Library ID
OL9828311M
Language
english
Format
PDF
Filesize
639 kB (654574 bytes)
Series
Lecture Notes in Computer Science 2953 : Lecture Notes in Artificial Intelligence
Edition
1
Pages
174\167
Library
Kolxo3
Time added
2011-01-23 12:00:00
Artificial Intelligence (incl. Robotics); Computergeneral; Mathematical Logic and Formal Languages;

Description

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.

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